Kouta Nakayama
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README.md
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---
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license: cc-by-4.0
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configs:
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- config_name: v1.0
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data_files:
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- split: train
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path: v1.0/train-*
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- split: dev
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path: v1.0/dev-*
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- split: test
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path: v1.0/test-*
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dataset_info:
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config_name: v1.0
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features:
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- name: ID
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dtype: string
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- name: text
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dtype: string
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- name: output
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dtype: string
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- name: meta
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struct:
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- name: alert-type
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sequence: string
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- name: domain
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sequence: string
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- name: output-reference
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sequence: string
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- name: output-type
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sequence: string
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- name: perspective
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sequence: string
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- name: question-reference
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sequence: string
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- name: source-to-answer
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sequence: string
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- name: task
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sequence: string
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- name: time-dependency
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dtype: bool
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splits:
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- name: train
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num_bytes: 559673
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num_examples: 300
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- name: dev
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num_bytes: 565546
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num_examples: 300
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- name: test
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num_bytes: 759009
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num_examples: 400
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download_size: 1042256
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dataset_size: 1884228
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---
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license: cc-by-4.0
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configs:
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- config_name: v1.0
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data_files:
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- split: train
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path: v1.0/train-*
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- split: dev
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path: v1.0/dev-*
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- split: test
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path: v1.0/test-*
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dataset_info:
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config_name: v1.0
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features:
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- name: ID
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dtype: string
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- name: text
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dtype: string
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- name: output
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dtype: string
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- name: meta
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struct:
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- name: alert-type
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sequence: string
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- name: domain
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sequence: string
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- name: output-reference
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sequence: string
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- name: output-type
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sequence: string
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- name: perspective
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sequence: string
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- name: question-reference
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sequence: string
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- name: source-to-answer
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sequence: string
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- name: task
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sequence: string
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- name: time-dependency
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dtype: bool
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splits:
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- name: train
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num_bytes: 559673
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num_examples: 300
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- name: dev
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num_bytes: 565546
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num_examples: 300
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- name: test
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num_bytes: 759009
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num_examples: 400
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download_size: 1042256
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dataset_size: 1884228
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task_categories:
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- text-generation
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language:
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- ja
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size_categories:
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- n<1K
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---
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## 概要
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llm-jp-instructionsは人手により作成されたインストラクションデータセットです。
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## Overview
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llm-jp-instructions is a manually created instruction dataset.
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## Usage
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```
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from datasets import load_dataset
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# load train, dev and test splits of v1.0
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v1_train = load_dataset("llm-jp/AnswerCarefully", data_dir="v1.0", split="train")
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v1_dev = load_dataset("llm-jp/AnswerCarefully", data_dir="v1.0", split="dev")
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v1_test = load_dataset("llm-jp/AnswerCarefully", data_dir="v1.0", split="test")
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```
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