README.md

metadata

annotations_creators:
  - expert-generated
  - machine-generated
language:
  - en
license: mit
multilinguality: monolingual
pretty_name: SemanticQA
size_categories:
  - 1K<n<10K
source_datasets:
  - original
tags:
  - semantics
  - idioms
  - noun-compounds
  - collocations
  - multiword-expressions
  - benchmark
  - nlp
task_categories:
  - text-classification
  - text-generation
  - question-answering
task_ids:
  - multiple-choice-qa
  - open-domain-qa
dataset_info:
  - config_name: collocate_retrieval
    splits:
      - name: test
        num_examples: 306
  - config_name: collocation_categorization
    splits:
      - name: test
        num_examples: 305
  - config_name: collocation_extraction
    splits:
      - name: test
        num_examples: 305
  - config_name: collocation_paraphrase
    splits:
      - name: test
        num_examples: 305
  - config_name: idiom_detection
    splits:
      - name: test
        num_examples: 273
  - config_name: idiom_extraction
    splits:
      - name: test
        num_examples: 447
  - config_name: idiom_paraphrase
    splits:
      - name: test
        num_examples: 818
  - config_name: noun_compound_compositionality
    splits:
      - name: test
        num_examples: 242
  - config_name: noun_compound_compositionality_ft
    splits:
      - name: train
        num_examples: 121
      - name: test
        num_examples: 97
      - name: validation
        num_examples: 24
  - config_name: noun_compound_extraction
    splits:
      - name: test
        num_examples: 720
  - config_name: noun_compound_interpretation
    splits:
      - name: test
        num_examples: 110
  - config_name: verbal_mwe_extraction
    splits:
      - name: test
        num_examples: 475
configs:
  - config_name: collocate_retrieval
    data_files:
      - split: test
        path: data/collocate_retrieval/collocate_retrieval.json
  - config_name: collocation_categorization
    data_files:
      - split: test
        path: data/collocation_categorization/collocation_categorization.json
  - config_name: collocation_extraction
    data_files:
      - split: test
        path: data/collocation_extraction/collocation_extraction.json
  - config_name: collocation_paraphrase
    data_files:
      - split: test
        path: data/collocation_paraphrase/collocation_paraphrase.json
  - config_name: idiom_detection
    data_files:
      - split: test
        path: data/idiom_detection/idiom_detection.json
    default: true
  - config_name: idiom_extraction
    data_files:
      - split: test
        path: data/idiom_extraction/idiom_extraction.json
  - config_name: idiom_paraphrase
    data_files:
      - split: test
        path: data/idiom_paraphrase/idiom_paraphrase.json
  - config_name: noun_compound_compositionality
    data_files:
      - split: test
        path: >-
          data/noun_compound_compositionality/noun_compound_compositionality.json
  - config_name: noun_compound_compositionality_ft
    data_files:
      - split: train
        path: >-
          data/noun_compound_compositionality/noun_compound_compositionality_ft_train.json
      - split: test
        path: >-
          data/noun_compound_compositionality/noun_compound_compositionality_ft_test.json
      - split: validation
        path: >-
          data/noun_compound_compositionality/noun_compound_compositionality_ft_valid.json
  - config_name: noun_compound_extraction
    data_files:
      - split: test
        path: data/noun_compound_extraction/noun_compound_extraction.json
  - config_name: noun_compound_interpretation
    data_files:
      - split: test
        path: data/noun_compound_interpretation/noun_compound_interpretation.json
  - config_name: verbal_mwe_extraction
    data_files:
      - split: test
        path: data/verbal_mwe_extraction/verbal_mwe_extraction.json

SemanticQA

A comprehensive benchmark for evaluating language models on semantic phrase processing, from the paper Revisiting a Pain in the Neck: Semantic Phrase Processing Benchmark for Language Models.

Usage

from datasets import load_dataset

# Load a specific subset
dataset = load_dataset("jacklanda/SemanticQA", "idiom_detection")

# Available configs:
#   collocate_retrieval, collocation_categorization, collocation_extraction,
#   collocation_paraphrase, idiom_detection, idiom_extraction, idiom_paraphrase,
#   noun_compound_compositionality, noun_compound_compositionality_ft,
#   noun_compound_extraction, noun_compound_interpretation, verbal_mwe_extraction

Subsets

Config	Task	Phrase Type	Size	Eval Metrics
collocate_retrieval	Collocate Retrieval (CR)	Collocation	306	Exact Match
collocation_categorization	Collocation Categorization (LCC)	Collocation	305	Accuracy, F1
collocation_extraction	Collocation Extraction (LCE)	Collocation	305	Exact Match
collocation_paraphrase	Collocation Interpretation (LCI)	Collocation	305	ROUGE-L, BERTScore, METEOR, BLEU
idiom_detection	Idiom Detection (IED)	Idiom	273	MCQ Accuracy
idiom_extraction	Idiom Extraction (IEE)	Idiom	447	Exact Match
idiom_paraphrase	Idiom Interpretation (IEI)	Idiom	818	ROUGE-L, BERTScore, METEOR, BLEU
noun_compound_compositionality	NC Compositionality (NCC)	Noun Compound	242	MCQ Accuracy
noun_compound_compositionality_ft	NCC Fine-tuning splits	Noun Compound	242	—
noun_compound_extraction	NC Extraction (NCE)	Noun Compound	720	Exact Match
noun_compound_interpretation	NC Interpretation (NCI)	Noun Compound	110	ROUGE-L, BERTScore, METEOR, BLEU
verbal_mwe_extraction	VMWE Extraction	Verbal MWE	475	Exact Match

Citation

@article{liu2026revisiting,
    title={Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models},
    author={Liu, Yang and Li, Hongming and Qin, Melissa Xiaohui and Liu, Qiankun and Huang, Chao},
    journal={arXiv preprint arXiv:2604.16593},
    year={2026}
}

@article{liu2024revisiting,
  title={Revisiting a Pain in the Neck: Semantic Phrase Processing Benchmark for Language Models},
  author={Liu, Yang and Qin, Melissa Xiaohui and Li, Hongming and Huang, Chao},
  journal={arXiv preprint arXiv:2405.02861},
  year={2024}
}

License

MIT