Datasets:

juletxara
/

clams

annotations_creators:
  - expert-generated
language:
  - en
  - fr
  - de
  - he
  - ru
language_creators:
  - expert-generated
license:
  - apache-2.0
multilinguality:
  - multilingual
paperswithcode_id: null
pretty_name: CLAMS - Cross-Linguistic Assessment of Models on Syntax
size_categories:
  - 1K<n<10K
source_datasets:
  - original
tags:
  - syntax
  - grammaticality
  - minimal-pairs
task_categories:
  - other
task_ids: []
configs:
  - config_name: en
    data_files:
      - split: test
        path: data/en*.parquet
  - config_name: fr
    data_files:
      - split: test
        path: data/fr*.parquet
  - config_name: de
    data_files:
      - split: test
        path: data/de*.parquet
  - config_name: he
    data_files:
      - split: test
        path: data/he*.parquet
  - config_name: ru
    data_files:
      - split: test
        path: data/ru*.parquet

CLAMS - Cross-Linguistic Assessment of Models on Syntax

Dataset Description

CLAMS (Cross-Linguistic Assessment of Models on Syntax) is a dataset of syntactic minimal pairs for English, French, German, Hebrew, and Russian. The dataset contains grammaticality judgment pairs (good/bad sentence pairs) for various syntactic phenomena, designed to evaluate language models' syntactic knowledge across different languages.

Dataset Structure

The dataset contains minimal pairs for 5 languages, each organized as separate subsets:

en (English): Syntactic minimal pairs for English
fr (French): Syntactic minimal pairs for French
de (German): Syntactic minimal pairs for German
he (Hebrew): Syntactic minimal pairs for Hebrew
ru (Russian): Syntactic minimal pairs for Russian

Fields

sentence_good: The grammatical sentence
sentence_bad: The ungrammatical sentence
test_case: The specific syntactic test case name (filename without extension)
pair_id: Unique identifier for the minimal pair within the test case
good_line: Original line number of the good sentence
bad_line: Original line number of the bad sentence

Usage

from datasets import load_dataset

# Load specific language
dataset = load_dataset("juletxara/clams", "en")

# Or load all languages
dataset = load_dataset("juletxara/clams")

# Access specific language data
english_data = dataset['en']

# Example usage
for example in english_data:
    print(f"Good: {example['sentence_good']}")
    print(f"Bad: {example['sentence_bad']}")
    print(f"Test case: {example['test_case']}")
    print()

Data Source

This dataset is derived from the CLAMS project: https://github.com/aaronmueller/clams

Citation

Please cite the original CLAMS paper when using this dataset:

@inproceedings{mueller-etal-2020-cross,
    title = "Cross-Linguistic Syntactic Evaluation of Word Prediction Models",
    author = "Mueller, Aaron and Linzen, Tal and Dunagan, Dustin and Bau, David and Belinkov, Yonatan",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    year = "2020",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.acl-main.490",
    pages = "5523--5539"
}

License

This dataset follows the original CLAMS project's Apache License, Version 2.0.