"""
name:
Xnli Indic

dataset:
Divyanshu/indicxnli

abstract:
Another variant of XNLI, with emphasis on Indic languages.

languages:
assamese, bengali, gujarati, hindi, kannada, malayalam, marathi, oriya, punjabi,
tamil, telugu

tags:
classification, multilingual, nli

paper:
https://arxiv.org/abs/2204.08776
"""

from langcodes import standardize_tag

from lighteval.metrics.dynamic_metrics import (
    LogLikelihoodAccMetric,
)
from lighteval.metrics.normalizations import LogProbCharNorm, LogProbTokenNorm
from lighteval.tasks.lighteval_task import LightevalTaskConfig
from lighteval.tasks.multilingual.utils.task_utils import get_metrics_for_formulation
from lighteval.tasks.templates.nli import get_nli_prompt_function
from lighteval.tasks.templates.utils.formulation import (
    CFFormulation,
    HybridFormulation,
    MCFFormulation,
)
from lighteval.utils.language import Language


TASKS_TABLE = [
    LightevalTaskConfig(
        name=f"indicnxnli_{language.value}_{formulation.name.lower()}",
        prompt_function=get_nli_prompt_function(
            language=language,
            adapter=lambda line: {
                "premise": line["premise"],
                "hypothesis": line["hypothesis"],
                # Since we ignore the neutral label
                "gold_idx": {0: 0, 2: 1}[line["label"]],
            },
            relations=["entailment", "contradiction"],
            formulation=formulation,
        ),
        hf_repo="Divyanshu/indicxnli",
        hf_subset=standardize_tag(language.value),
        # Ignore neutral
        hf_filter=lambda x: int(x["label"]) in [0, 2],
        evaluation_splits=["validation"],
        few_shots_split="train",
        metrics=get_metrics_for_formulation(
            formulation,
            [
                LogLikelihoodAccMetric(normalization=None),
                LogLikelihoodAccMetric(normalization=LogProbTokenNorm()),
                LogLikelihoodAccMetric(normalization=LogProbCharNorm()),
            ],
        ),
    )
    for language in [
        Language.ASSAMESE,
        Language.BENGALI,
        Language.GUJARATI,
        Language.HINDI,
        Language.KANNADA,
        Language.MALAYALAM,
        Language.MARATHI,
        Language.ORIYA,
        Language.PUNJABI,
        Language.TAMIL,
        Language.TELUGU,
    ]
    for formulation in [MCFFormulation(), CFFormulation(), HybridFormulation()]
]
