File size: 3,236 Bytes
a6c2d2b 3f52821 a6c2d2b 3f52821 a6c2d2b 3f52821 a6c2d2b 3f52821 a6c2d2b 3f52821 a6c2d2b 0f15f38 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 | ---
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
```python
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:
```bibtex
@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.
|