DeepPavlov/hwu64_ru

Russian hwu64

This is a text classification dataset. It is intended for machine learning research and experimentation.

This dataset is obtained via formatting another publicly available data to be compatible with our AutoIntent Library.

Usage

It is intended to be used with our AutoIntent Library:

from autointent import Dataset

hwu64_ru = Dataset.from_hub("AutoIntent/hwu64_ru")

Source

This dataset is taken from private github repository LadaNikitina/ruHWU64 and formatted with our AutoIntent Library:

from datasets import load_from_disk
from autointent import Dataset

def convert_ruhwu64(hwu64_train):
    intent_names = sorted(hwu64_train.unique("intent"))
    name_to_id = dict(zip(intent_names, range(len(intent_names)), strict=False))
    n_classes = len(intent_names)

    classwise_utterance_records = [[] for _ in range(n_classes)]
    intents = [
        {
            "id": i,
            "name": name,
        }
        for i, name in enumerate(intent_names)
    ]

    for batch in hwu64_train.iter(batch_size=16, drop_last_batch=False):
        for txt, name in zip(batch["text"], batch["intent"], strict=False):
            intent_id = name_to_id[name]
            target_list = classwise_utterance_records[intent_id]
            target_list.append({"utterance": txt, "label": intent_id})

    utterances = [rec for lst in classwise_utterance_records for rec in lst]
    return Dataset.from_dict({"intents": intents, "train": utterances})

# load and format
! git clone git@github.com:LadaNikitina/ruHWU64 data/RuHWU64
! rm -rf data/RuHWU64/.git
ruhwu64 = load_from_disk("data/RuHWU64")
ruhwu64_converted = convert_ruhwu64(ruhwu64["train"])