Hugging Face's logo

Datasets:
applied-ai-018
/
peacock-data-public-datasets-idc-llm_eval

Dataset card Files Community
peacock-data-public-datasets-idc-llm_eval
File size: 4,337 Bytes 
c6d4165
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
123
124
125
126
127
128
129
130
131
132
 
import argparse

import yaml


# Different languages that are part of xnli.
# These correspond to dataset names (Subsets) on HuggingFace.
# A yaml file is generated by this script for each language.

LANGUAGES = {
    "as": {  # Assamese
        "QUESTION_WORD": "শুধু",
        "ENTAILMENT_LABEL": "হাঁ",
        "NEUTRAL_LABEL": "তাই",
        "CONTRADICTION_LABEL": "না",
    },
    "bn": {  # Bengali
        "QUESTION_WORD": "সঠিক",
        "ENTAILMENT_LABEL": "হ্যাঁ",
        "NEUTRAL_LABEL": "তাহলে",
        "CONTRADICTION_LABEL": "না",
    },
    "gu": {  # Gujarati
        "QUESTION_WORD": "સાચું",
        "ENTAILMENT_LABEL": "હા",
        "NEUTRAL_LABEL": "તેનાથી",
        "CONTRADICTION_LABEL": "ના",
    },
    "hi": {  # Hindi
        "QUESTION_WORD": "सही",
        "ENTAILMENT_LABEL": "हाँ",
        "NEUTRAL_LABEL": "इसलिए",
        "CONTRADICTION_LABEL": "नहीं",
    },
    "kn": {  # Kannada
        "QUESTION_WORD": "ಸರಿ",
        "ENTAILMENT_LABEL": "ಹೌದು",
        "NEUTRAL_LABEL": "ಹಾಗಾಗಿ",
        "CONTRADICTION_LABEL": "ಇಲ್ಲ",
    },
    "ml": {  # Malayalam
        "QUESTION_WORD": "ശരി",
        "ENTAILMENT_LABEL": "അതെ",
        "NEUTRAL_LABEL": "എന്നാൽ",
        "CONTRADICTION_LABEL": "ഇല്ല",
    },
    "mr": {  # Marathi
        "QUESTION_WORD": "बरोबर",
        "ENTAILMENT_LABEL": "होय",
        "NEUTRAL_LABEL": "त्यानंतर",
        "CONTRADICTION_LABEL": "नाही",
    },
    "or": {  # Odia
        "QUESTION_WORD": "ସଠିକ",
        "ENTAILMENT_LABEL": "ହାଁ",
        "NEUTRAL_LABEL": "ଏହା",
        "CONTRADICTION_LABEL": "ନୁହଁ",
    },
    "pa": {  # Punjabi
        "QUESTION_WORD": "ਸਹੀ",
        "ENTAILMENT_LABEL": "ਹਾਂ",
        "NEUTRAL_LABEL": "ਇਸ ਲਈ",
        "CONTRADICTION_LABEL": "ਨਹੀਂ",
    },
    "ta": {  # Tamil
        "QUESTION_WORD": "சரி",
        "ENTAILMENT_LABEL": "ஆம்",
        "NEUTRAL_LABEL": "எனவே",
        "CONTRADICTION_LABEL": "இல்லை",
    },
    "te": {  # Telugu
        "QUESTION_WORD": "సరైన",
        "ENTAILMENT_LABEL": "అవును",
        "NEUTRAL_LABEL": "కాబట్టి",
        "CONTRADICTION_LABEL": "కాదు",
    },
}



def gen_lang_yamls(output_dir: str, overwrite: bool) -> None:
    """
    Generate a yaml file for each language.

    :param output_dir: The directory to output the files to.
    :param overwrite: Whether to overwrite files if they already exist.
    """
    err = []
    for lang in LANGUAGES.keys():
        file_name = f"indicxnli_{lang}.yaml"
        try:
            QUESTION_WORD = LANGUAGES[lang]["QUESTION_WORD"]
            ENTAILMENT_LABEL = LANGUAGES[lang]["ENTAILMENT_LABEL"]
            NEUTRAL_LABEL = LANGUAGES[lang]["NEUTRAL_LABEL"]
            CONTRADICTION_LABEL = LANGUAGES[lang]["CONTRADICTION_LABEL"]
            with open(
                f"{output_dir}/{file_name}", "w" if overwrite else "x", encoding="utf8"
            ) as f:
                f.write("# Generated by utils.py\n")
                yaml.dump(
                    {
                        "include": "indicxnli_common_yaml",
                        "dataset_name": lang,
                        "task": f"indicxnli_{lang}",
                        "doc_to_text": "",
                        "doc_to_choice": f"{{{{["
                        f"""premise+\", {QUESTION_WORD}? {ENTAILMENT_LABEL}, \"+hypothesis,"""
                        f"""premise+\", {QUESTION_WORD}? {NEUTRAL_LABEL}, \"+hypothesis,"""
                        f"""premise+\", {QUESTION_WORD}? {CONTRADICTION_LABEL}, \"+hypothesis"""
                        f"]}}}}",
                    },
                    f,
                    allow_unicode=True,
                )
        except FileExistsError:
            err.append(file_name)

    if len(err) > 0:
        raise FileExistsError(
            "Files were not created because they already exist (use --overwrite flag):"
            f" {', '.join(err)}"
        )


def main() -> None:

    gen_lang_yamls(output_dir=".", overwrite=True)


if __name__ == "__main__":
    main()