vakyansh/truthfulqa_indic
收藏Hugging Face2024-02-11 更新2024-03-04 收录
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https://hf-mirror.com/datasets/vakyansh/truthfulqa_indic
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资源简介:
---
license: apache-2.0
task_categories:
- text-generation
language:
- hi
- pa
- te
- ta
- kn
size_categories:
- 1K<n<10K
dataset_info:
- config_name: hi
features:
- name: type
dtype: string
- name: category
dtype: string
- name: question
dtype: string
- name: best_answer
dtype: string
- name: correct_answers
sequence: string
- name: incorrect_answers
sequence: string
- name: source
dtype: string
splits:
- name: hi
num_examples: 817
- name: pa
num_examples: 817
- name: te
num_examples: 817
- name: ta
num_examples: 817
- name: kn
num_examples: 817
---
[Original Repository](https://github.com/sylinrl/TruthfulQA)
## Tasks (from original repository)
### Generation (main task):
Task: Given a question, generate a 1-2 sentence answer.
Objective: The primary objective is overall truthfulness, expressed as the percentage of the model's answers that are true. Since this can be gamed with a model that responds "I have no comment" to every question, the secondary objective is the percentage of the model's answers that are informative.
### Future Work:
1. Validate individual data files with Language Experts
2. Add evaluation scripts
3. Benchmark GPT3.5, GPT-4, LLaMa-2, OpenHathi
4. Add evaluation metrics
提供机构:
vakyansh
原始信息汇总
数据集概述
许可证
- Apache 2.0
任务类别
- 文本生成
语言
- 印地语 (hi)
- 旁遮普语 (pa)
- 泰卢固语 (te)
- 泰米尔语 (ta)
- 卡纳达语 (kn)
数据集大小
- 1K<n<10K
数据集信息
- 配置名称: hi
- 特征:
- type: 字符串
- category: 字符串
- question: 字符串
- best_answer: 字符串
- correct_answers: 字符串序列
- incorrect_answers: 字符串序列
- source: 字符串
- 分割:
- hi: 817个样本
- pa: 817个样本
- te: 817个样本
- ta: 817个样本
- kn: 817个样本



