eswardivi/telugu_dataset
收藏Hugging Face2024-02-16 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/eswardivi/telugu_dataset
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资源简介:
---
dataset_info:
- config_name: telugu_asr
features:
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 47887486
num_examples: 209270
download_size: 20219871
dataset_size: 47887486
- config_name: telugu_nlp
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 387671180
num_examples: 47415
download_size: 150012515
dataset_size: 387671180
- config_name: wikipedia
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 710613522
num_examples: 87854
download_size: 209754217
dataset_size: 710613522
configs:
- config_name: telugu_asr
data_files:
- split: train
path: telugu_asr/train-*
- config_name: telugu_nlp
data_files:
- split: train
path: telugu_nlp/train-*
- config_name: wikipedia
data_files:
- split: train
path: wikipedia/train-*
---
# Dataset
This repository contains the final dataset created using various resources. The primary datasets used for the construction of this final dataset are:
- [Telugu NLP Dataset from Kaggle](https://www.kaggle.com/datasets/sudalairajkumar/telugu-nlp)
- [Telugu ASR Corpus from HuggingFace](https://huggingface.co/datasets/parambharat/telugu_asr_corpus)
- [Wikipedia Telugu Dataset from Wikimedia on HuggingFace](https://huggingface.co/datasets/wikimedia/wikipedia)
These datasets have been combined to form a comprehensive resource for Telugu Natural Language Processing (NLP) tasks.
提供机构:
eswardivi
原始信息汇总
数据集概述
数据集配置
1. Telugu ASR
- 特征:
- 名称: sentence
- 数据类型: string
- 分割:
- 名称: train
- 字节数: 47887486
- 样本数: 209270
- 下载大小: 20219871
- 数据集大小: 47887486
- 数据文件:
- 分割: train
- 路径: telugu_asr/train-*
2. Telugu NLP
- 特征:
- 名称: text
- 数据类型: string
- 分割:
- 名称: train
- 字节数: 387671180
- 样本数: 47415
- 下载大小: 150012515
- 数据集大小: 387671180
- 数据文件:
- 分割: train
- 路径: telugu_nlp/train-*
3. Wikipedia
- 特征:
- 名称: text
- 数据类型: string
- 分割:
- 名称: train
- 字节数: 710613522
- 样本数: 87854
- 下载大小: 209754217
- 数据集大小: 710613522
- 数据文件:
- 分割: train
- 路径: wikipedia/train-*



