metadata

annotations_creators:
  - machine-generated
language:
  - en
language_creators:
  - expert-generated
license:
  - cc-by-4.0
multilinguality:
  - monolingual
pretty_name: AMR 3.0 Parsed
size_categories:
  - 10K<n<100K
source_datasets:
  - ldc2020t02
task_categories:
  - text2text-generation

Dataset Card for AMR 3.0 Parsed

Dataset Description

Repository: LDC2020T02
Paper: AMR Paper
Point of Contact: [Your Contact Info]

Dataset Summary

This dataset contains parsed Abstract Meaning Representation (AMR) annotations from the LDC2020T02 release, formatted as instruction-following conversations. Each example consists of a sentence and its corresponding AMR graph representation.

Supported Tasks and Leaderboards

Tasks: Semantic parsing, specifically generating AMR graphs from English sentences
Leaderboards: AMR Parsing

Languages

The dataset is in English.

Dataset Structure

Data Instances

An example looks like:

{
    'conversations': [
        {
            'role': 'user',
            'content': 'Generate an Abstract Meaning Representation (AMR) graph for the following sentence: [sentence]'
        },
        {
            'role': 'assistant',
            'content': '[AMR graph]'
        }
    ]
}