The AscentKB v1.0.0 that contains 8.9M commonsense assertions is available in 🤗Datasets with two configurations: canonical and open, which consist of canonicalized assertions (see below for explanations) and open assertions, respectively.

This KB is ~19 times larger than ConceptNet (note that in this comparison, non-commonsense knowledge in ConceptNet such as lexical relations is excluded).

More information available on the HuggingFace Hub.

Example usage:

Relation canonicalization

In AscentKB v1.0.0, besides the open assertions (as in the Browse functionality), we also mapped each assertion into a canonical relation. Those relations are mostly based on the set of ConceptNet 5 relations with slight modifications:

• Introducing 2 new relations: /r/HasSubgroup, /r/HasAspect (derived directly from Ascent data model).
• All /r/HasA relations were replaced with /r/HasAspect. This is motivated by the ATOMIC-2020 schema, although they grouped all /r/HasA and /r/HasProperty into /r/HasProperty.
• The /r/UsedFor relation was replaced with /r/ObjectUse which is broader (could be either "used for", "used in", or "used as", ect.). This is also taken from ATOMIC-2020.

Download

Alternatively, you can drirectly download the dataset here:
ascent-v1.0.0.json.gz (678MB) - a JSON file of 8.9M commonsense assertions.

Data fields (for ascent-v1.0.0.json.gz only)

• arg1: the first argument to the relationship, e.g., elephant
• rel: the canonical relation, e.g., /r/HasProperty
• arg2: the second argument to the relationship, e.g., intelligence
• support: the number of occurrences of the assertion, e.g., 15
• facets: an array of semantic facets, each contains
• value: facet value, e.g., extremely
• type: facet type, e.g., DEGREE
• support: the number of occurrences of the facet, e.g., 11
• source_sentences: an array of source sentences from which the assertion was extracted, each contains
• text: the raw text of the sentence
• source: the URL to its parent document
• subject: the original subject of the assertion (before canolicalization), e.g., elephant
• predicate: the original predicate of the assertion (before canolicalization), e.g., be
• object: the original object of the assertion (before canolicalization), e.g., intelligent

License

CC BY 4.0