From d8010ce16d28c7d29d10d28aef36c8c1d8bedd46 Mon Sep 17 00:00:00 2001 From: TomasAndersonFang Date: Wed, 18 Oct 2023 16:37:20 +0000 Subject: [PATCH] Up --- .../m2/java/00/assessment.json | 12 +++++ .../m2/java/00/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/java/00/output.txt | 37 ++++++++++++++ data/chinese-21st-TV/m2/java/00/prompt.txt | 4 ++ .../m2/java/01/assessment.json | 12 +++++ .../m2/java/01/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/java/01/output.txt | 38 ++++++++++++++ data/chinese-21st-TV/m2/java/01/prompt.txt | 4 ++ .../m2/java/02/assessment.json | 12 +++++ .../m2/java/02/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/java/02/output.txt | 40 +++++++++++++++ data/chinese-21st-TV/m2/java/02/prompt.txt | 4 ++ .../m2/java/03/assessment.json | 12 +++++ .../m2/java/03/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/java/03/output.txt | 35 +++++++++++++ data/chinese-21st-TV/m2/java/03/prompt.txt | 4 ++ .../m2/java/04/assessment.json | 12 +++++ .../m2/java/04/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/java/04/output.txt | 29 +++++++++++ data/chinese-21st-TV/m2/java/04/prompt.txt | 4 ++ .../m2/rust/00/assessment.json | 12 +++++ .../m2/rust/00/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/rust/00/output.txt | 32 ++++++++++++ data/chinese-21st-TV/m2/rust/00/prompt.txt | 4 ++ .../m2/rust/01/assessment.json | 12 +++++ .../m2/rust/01/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/rust/01/output.txt | 31 ++++++++++++ data/chinese-21st-TV/m2/rust/01/prompt.txt | 4 ++ .../m2/rust/02/assessment.json | 12 +++++ .../m2/rust/02/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/rust/02/output.txt | 36 ++++++++++++++ data/chinese-21st-TV/m2/rust/02/prompt.txt | 4 ++ .../m2/rust/03/assessment.json | 12 +++++ .../m2/rust/03/execution-result.txt | 10 ++++ data/chinese-21st-TV/m2/rust/03/output.txt | 27 ++++++++++ data/chinese-21st-TV/m2/rust/03/prompt.txt | 4 ++ .../m2/rust/04/assessment.json | 12 +++++ .../m2/rust/04/execution-result.txt | 11 +++++ data/chinese-21st-TV/m2/rust/04/output.txt | 49 +++++++++++++++++++ data/chinese-21st-TV/m2/rust/04/prompt.txt | 4 ++ 40 files changed, 615 insertions(+) create mode 100644 data/chinese-21st-TV/m2/java/00/assessment.json create mode 100644 data/chinese-21st-TV/m2/java/00/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/java/00/output.txt create mode 100644 data/chinese-21st-TV/m2/java/00/prompt.txt create mode 100644 data/chinese-21st-TV/m2/java/01/assessment.json create mode 100644 data/chinese-21st-TV/m2/java/01/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/java/01/output.txt create mode 100644 data/chinese-21st-TV/m2/java/01/prompt.txt create mode 100644 data/chinese-21st-TV/m2/java/02/assessment.json create mode 100644 data/chinese-21st-TV/m2/java/02/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/java/02/output.txt create mode 100644 data/chinese-21st-TV/m2/java/02/prompt.txt create mode 100644 data/chinese-21st-TV/m2/java/03/assessment.json create mode 100644 data/chinese-21st-TV/m2/java/03/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/java/03/output.txt create mode 100644 data/chinese-21st-TV/m2/java/03/prompt.txt create mode 100644 data/chinese-21st-TV/m2/java/04/assessment.json create mode 100644 data/chinese-21st-TV/m2/java/04/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/java/04/output.txt create mode 100644 data/chinese-21st-TV/m2/java/04/prompt.txt create mode 100644 data/chinese-21st-TV/m2/rust/00/assessment.json create mode 100644 data/chinese-21st-TV/m2/rust/00/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/rust/00/output.txt create mode 100644 data/chinese-21st-TV/m2/rust/00/prompt.txt create mode 100644 data/chinese-21st-TV/m2/rust/01/assessment.json create mode 100644 data/chinese-21st-TV/m2/rust/01/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/rust/01/output.txt create mode 100644 data/chinese-21st-TV/m2/rust/01/prompt.txt create mode 100644 data/chinese-21st-TV/m2/rust/02/assessment.json create mode 100644 data/chinese-21st-TV/m2/rust/02/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/rust/02/output.txt create mode 100644 data/chinese-21st-TV/m2/rust/02/prompt.txt create mode 100644 data/chinese-21st-TV/m2/rust/03/assessment.json create mode 100644 data/chinese-21st-TV/m2/rust/03/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/rust/03/output.txt create mode 100644 data/chinese-21st-TV/m2/rust/03/prompt.txt create mode 100644 data/chinese-21st-TV/m2/rust/04/assessment.json create mode 100644 data/chinese-21st-TV/m2/rust/04/execution-result.txt create mode 100644 data/chinese-21st-TV/m2/rust/04/output.txt create mode 100644 data/chinese-21st-TV/m2/rust/04/prompt.txt diff --git a/data/chinese-21st-TV/m2/java/00/assessment.json b/data/chinese-21st-TV/m2/java/00/assessment.json new file mode 100644 index 0000000..d9a4578 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/00/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "4", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "4/10=0.4", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Not bad." # optional +} diff --git a/data/chinese-21st-TV/m2/java/00/execution-result.txt b/data/chinese-21st-TV/m2/java/00/execution-result.txt new file mode 100644 index 0000000..97a0d9a --- /dev/null +++ b/data/chinese-21st-TV/m2/java/00/execution-result.txt @@ -0,0 +1,10 @@ +星龙 +雪石 +雨影 +雪狼 +夜露 +水石 +月剑 +霜露 +雪剑 +水凤 diff --git a/data/chinese-21st-TV/m2/java/00/output.txt b/data/chinese-21st-TV/m2/java/00/output.txt new file mode 100644 index 0000000..23a5a9b --- /dev/null +++ b/data/chinese-21st-TV/m2/java/00/output.txt @@ -0,0 +1,37 @@ +了解,我将为你创建一个简单的武林外传风格的角色名生成器。 + +首先,我们可以考虑武林外传中的命名特点,结合武侠文化中的常见元素和词汇来生成。为了简化过程,我会创建一个固定的前缀和后缀列表,然后从这两个列表中随机组合来生成角色名。 + +以下是一个简单的Java代码来完成这个任务: + +```java +import java.util.Random; + +public class WuxiaNameGenerator { + + private static final String[] PREFIXES = { + "风", "雨", "云", "霜", "雪", "月", "夜", "星", "山", "水" + }; + + private static final String[] SUFFIXES = { + "剑", "影", "鹰", "狼", "龙", "凤", "花", "叶", "露", "石" + }; + + private Random random = new Random(); + + public String generateName() { + String prefix = PREFIXES[random.nextInt(PREFIXES.length)]; + String suffix = SUFFIXES[random.nextInt(SUFFIXES.length)]; + return prefix + suffix; + } + + public static void main(String[] args) { + WuxiaNameGenerator generator = new WuxiaNameGenerator(); + for (int i = 0; i < 10; i++) { + System.out.println(generator.generateName()); + } + } +} +``` + +运行上面的代码,你可以得到10个武侠风格的角色名。每次运行的结果可能会有所不同,因为它是随机生成的。 diff --git a/data/chinese-21st-TV/m2/java/00/prompt.txt b/data/chinese-21st-TV/m2/java/00/prompt.txt new file mode 100644 index 0000000..15d7f52 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/00/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:Java +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的角色名。 diff --git a/data/chinese-21st-TV/m2/java/01/assessment.json b/data/chinese-21st-TV/m2/java/01/assessment.json new file mode 100644 index 0000000..d33cac3 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/01/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "5", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "10/10=1", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Perfect!" # optional +} diff --git a/data/chinese-21st-TV/m2/java/01/execution-result.txt b/data/chinese-21st-TV/m2/java/01/execution-result.txt new file mode 100644 index 0000000..4ab2512 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/01/execution-result.txt @@ -0,0 +1,10 @@ +金霞馆 +银泉院 +翠霞堂 +银庭轩 +银月寺 +兰星院 +菊星堂 +梅风舍 +菊月斋 +凤庭轩 diff --git a/data/chinese-21st-TV/m2/java/01/output.txt b/data/chinese-21st-TV/m2/java/01/output.txt new file mode 100644 index 0000000..9c74f03 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/01/output.txt @@ -0,0 +1,38 @@ +好的,我可以帮你编写一个简单的基于Java的武林外传风格的建筑名称生成器。考虑到“武林外传”是一个古装喜剧,我们可以结合一些古代的元素和修饰词来制作这个生成器。 + +以下是一个简单的代码示例: + +```java +import java.util.Random; + +public class BuildingNameGenerator { + private static final String[] PREFIXES = { + "翠", "玉", "金", "银", "龙", "凤", "梅", "兰", "竹", "菊" + }; + + private static final String[] MIDDLES = { + "泉", "峰", "庭", "梦", "霞", "雨", "风", "月", "星", "云" + }; + + private static final String[] SUFFIXES = { + "楼", "阁", "院", "舍", "馆", "轩", "斋", "堂", "寺", "府" + }; + + private Random random = new Random(); + + public String generateBuildingName() { + return PREFIXES[random.nextInt(PREFIXES.length)] + + MIDDLES[random.nextInt(MIDDLES.length)] + + SUFFIXES[random.nextInt(SUFFIXES.length)]; + } + + public static void main(String[] args) { + BuildingNameGenerator generator = new BuildingNameGenerator(); + for (int i = 0; i < 10; i++) { + System.out.println(generator.generateBuildingName()); + } + } +} +``` + +当你运行上面的程序,它将输出10个基于“武林外传”风格的建筑名称。这些名称是通过将前缀、中缀和后缀随机组合来生成的。你可以根据需要添加更多的词汇或进行调整。 diff --git a/data/chinese-21st-TV/m2/java/01/prompt.txt b/data/chinese-21st-TV/m2/java/01/prompt.txt new file mode 100644 index 0000000..87b6a5d --- /dev/null +++ b/data/chinese-21st-TV/m2/java/01/prompt.txt @@ -0,0 +1,4 @@ +且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:Java +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的建筑名。 diff --git a/data/chinese-21st-TV/m2/java/02/assessment.json b/data/chinese-21st-TV/m2/java/02/assessment.json new file mode 100644 index 0000000..6577b11 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/02/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "5", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "10/10=1", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Perfect." # optional +} diff --git a/data/chinese-21st-TV/m2/java/02/execution-result.txt b/data/chinese-21st-TV/m2/java/02/execution-result.txt new file mode 100644 index 0000000..b50a4bf --- /dev/null +++ b/data/chinese-21st-TV/m2/java/02/execution-result.txt @@ -0,0 +1,10 @@ +江湖医生 +茶馆掌柜 +画师 +宝石商 +丐帮弟子 +剑宗弟子 +捕快 +酒馆老板 +马贩 +鱼贩 diff --git a/data/chinese-21st-TV/m2/java/02/output.txt b/data/chinese-21st-TV/m2/java/02/output.txt new file mode 100644 index 0000000..11dd6c5 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/02/output.txt @@ -0,0 +1,40 @@ +好的,首先我们可以考虑"武林外传"这部电视剧的背景,它是一部古装武侠喜剧,所以所产生的职业需要与古代和武侠题材相匹配。 + +这里是一个简单的Java程序,它包含了一个预定义的职业列表,并从中随机选择10个职业来生成: + +```java +import java.util.ArrayList; +import java.util.HashSet; +import java.util.List; +import java.util.Random; + +public class WuLinOccupationGenerator { + private static final String[] occupations = { + "镖头", "草药商", "捕快", "江湖医生", "书生", + "酒馆老板", "打铁匠", "剑宗弟子", "丐帮弟子", "鱼贩", + "茶馆掌柜", "马贩", "画师", "戏班子演员", "宝石商" + }; + + public static void main(String[] args) { + WuLinOccupationGenerator generator = new WuLinOccupationGenerator(); + List generatedOccupations = generator.generate(10); + for (String occupation : generatedOccupations) { + System.out.println(occupation); + } + } + + public List generate(int count) { + HashSet resultSet = new HashSet<>(); + Random rand = new Random(); + + while (resultSet.size() < count) { + int index = rand.nextInt(occupations.length); + resultSet.add(occupations[index]); + } + + return new ArrayList<>(resultSet); + } +} +``` + +当你运行此程序时,它将从预定义的职业列表中随机选择10个职业并打印出来。这只是一个简单的示例,你可以根据需要进一步扩展或修改它。 diff --git a/data/chinese-21st-TV/m2/java/02/prompt.txt b/data/chinese-21st-TV/m2/java/02/prompt.txt new file mode 100644 index 0000000..ae413ca --- /dev/null +++ b/data/chinese-21st-TV/m2/java/02/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:Java +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的人物职业。 diff --git a/data/chinese-21st-TV/m2/java/03/assessment.json b/data/chinese-21st-TV/m2/java/03/assessment.json new file mode 100644 index 0000000..6577b11 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/03/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "5", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "10/10=1", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Perfect." # optional +} diff --git a/data/chinese-21st-TV/m2/java/03/execution-result.txt b/data/chinese-21st-TV/m2/java/03/execution-result.txt new file mode 100644 index 0000000..4fee89c --- /dev/null +++ b/data/chinese-21st-TV/m2/java/03/execution-result.txt @@ -0,0 +1,10 @@ +菊雪巷 +竹雪路 +松月巷 +金月路 +梅花巷 +龙风道 +竹风巷 +兰月道 +凤云道 +金风坊 diff --git a/data/chinese-21st-TV/m2/java/03/output.txt b/data/chinese-21st-TV/m2/java/03/output.txt new file mode 100644 index 0000000..48b4e13 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/03/output.txt @@ -0,0 +1,35 @@ +很好,首先我们需要了解“武林外传”的背景和风格。该电视剧是一个古装喜剧,所以街道名称需要反映古代中国的风格,同时也可以加入一些幽默或古怪的元素,因为这部剧的风格是喜剧。 + +下面是一个简单的Java程序,用于生成10个与“武林外传”风格匹配的街道名称: + +```java +import java.util.Random; + +public class WuxiaStreetNameGenerator { + + private static final String[] PREFIXES = { + "金", "银", "玉", "龙", "凤", "梅", "兰", "竹", "菊", "松" + }; + + private static final String[] MIDDLES = { + "水", "风", "雨", "霜", "月", "云", "雪", "夜", "日", "花" + }; + + private static final String[] SUFFIXES = { + "巷", "街", "路", "道", "弄", "坊" + }; + + public static void main(String[] args) { + Random rand = new Random(); + for (int i = 0; i < 10; i++) { + String prefix = PREFIXES[rand.nextInt(PREFIXES.length)]; + String middle = MIDDLES[rand.nextInt(MIDDLES.length)]; + String suffix = SUFFIXES[rand.nextInt(SUFFIXES.length)]; + + System.out.println(prefix + middle + suffix); + } + } +} +``` + +运行上述代码,你将得到10个类似于“金水街”或“龙风巷”的街道名称。这些名称既有古代中国的风格,又与“武林外传”的幽默风格相匹配。 diff --git a/data/chinese-21st-TV/m2/java/03/prompt.txt b/data/chinese-21st-TV/m2/java/03/prompt.txt new file mode 100644 index 0000000..57a6771 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/03/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:Java +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的街道名。 diff --git a/data/chinese-21st-TV/m2/java/04/assessment.json b/data/chinese-21st-TV/m2/java/04/assessment.json new file mode 100644 index 0000000..01bb904 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/04/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "4", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "7/10=0.7", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Looks good." # optional +} diff --git a/data/chinese-21st-TV/m2/java/04/execution-result.txt b/data/chinese-21st-TV/m2/java/04/execution-result.txt new file mode 100644 index 0000000..081d2fe --- /dev/null +++ b/data/chinese-21st-TV/m2/java/04/execution-result.txt @@ -0,0 +1,10 @@ +金狮宫 +夜影门 +冰魄塔 +霸天塔 +银蛇剑 +银蛇寺 +夜影拳 +金狮山 +金狮寺 +紫霞剑 diff --git a/data/chinese-21st-TV/m2/java/04/output.txt b/data/chinese-21st-TV/m2/java/04/output.txt new file mode 100644 index 0000000..7ac6e00 --- /dev/null +++ b/data/chinese-21st-TV/m2/java/04/output.txt @@ -0,0 +1,29 @@ +好的,我明白了。首先,我将创建一个简单的武林门派名称生成器。为了生成名称,我会采用以下策略: + +使用一些武林、江湖常见的前缀或后缀,例如“霸天”、“龙翔”、“夜影”等。 +结合一些与自然、动物或特定的武技有关的词汇,例如“山”、“雁”、“剑”等。 +将两者结合起来,生成门派名称。 + +接下来,我将为你提供一个Java版本的代码来生成这些名称。 + +以下是Java版本的武林门派名称生成器代码: +import java.util.Random; + +public class MartialArtsSectGenerator { + + public static void main(String[] args) { + // Common martial art world prefixes and suffixes + String[] prefixes = {"霸天", "龙翔", "夜影", "铁血", "白云", "紫霞", "金狮", "银蛇", "赤火", "冰魄"}; + String[] suffixes = {"山", "雁", "剑", "掌", "拳", "派", "门", "宫", "寺", "塔"}; + + Random random = new Random(); + + // Generate 10 martial art sect names + for (int i = 0; i < 10; i++) { + String sectName = prefixes[random.nextInt(prefixes.length)] + suffixes[random.nextInt(suffixes.length)]; + System.out.println(sectName); + } + } +} + +你可以运行上述Java代码以生成武林门派的名称。这只是一个简单的示例,你可以根据需要进一步扩展或修改它。 diff --git a/data/chinese-21st-TV/m2/java/04/prompt.txt b/data/chinese-21st-TV/m2/java/04/prompt.txt new file mode 100644 index 0000000..07c7f8c --- /dev/null +++ b/data/chinese-21st-TV/m2/java/04/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:Java +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的武林门派。 diff --git a/data/chinese-21st-TV/m2/rust/00/assessment.json b/data/chinese-21st-TV/m2/rust/00/assessment.json new file mode 100644 index 0000000..042ecb2 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/00/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "4", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "7/10=0.7", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Good." # optional +} diff --git a/data/chinese-21st-TV/m2/rust/00/execution-result.txt b/data/chinese-21st-TV/m2/rust/00/execution-result.txt new file mode 100644 index 0000000..5e90917 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/00/execution-result.txt @@ -0,0 +1,10 @@ +雷战 +雪残 +凤独 +雷笑 +雷孤 +月独 +风舞 +凤孤 +星舞 +月静 diff --git a/data/chinese-21st-TV/m2/rust/00/output.txt b/data/chinese-21st-TV/m2/rust/00/output.txt new file mode 100644 index 0000000..01af0dc --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/00/output.txt @@ -0,0 +1,32 @@ +好的,我会使用 Rust 来为“武林外传”生成伪造的角色名。 + +首先,我们可以考虑一些常见的武侠名字的特点,例如“风”、“云”、“雪”、“龙”、“凤”等字眼,再加上一些常见的形容词或者武侠界中的修为描述,如“独”、“孤”、“残”、“无双”等。 + +基于这些信息,我会先为你展示一个 Rust 的基本框架,然后生成伪造的角色名。 + +```rust +use rand::seq::SliceRandom; + +fn main() { + let first_parts = vec![ + "风", "云", "雪", "龙", "凤", "月", "星", "天", "日", "雷" + ]; + let second_parts = vec![ + "独", "孤", "残", "无双", "追", "影", "舞", "笑", "战", "静" + ]; + + let mut rng = rand::thread_rng(); + + for _ in 0..10 { + let first = first_parts.choose(&mut rng).unwrap(); + let second = second_parts.choose(&mut rng).unwrap(); + println!("{}{}", first, second); + } +} +``` + +这个简单的程序会从两个数组中随机选择一个词汇,然后将它们组合起来生成一个伪造的角色名。这样我们可以得到像“风独”、“云舞”、“龙笑”这样的角色名。 + +请注意,为了运行此代码,你需要在你的 Rust 项目的 `Cargo.toml` 文件中添加 `rand` 作为依赖。 + +你可以运行这个程序来得到十个伪造的角色名,或者调整数组中的词汇来得到更多的组合。 diff --git a/data/chinese-21st-TV/m2/rust/00/prompt.txt b/data/chinese-21st-TV/m2/rust/00/prompt.txt new file mode 100644 index 0000000..79a6b43 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/00/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:Rust +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的角色名。 diff --git a/data/chinese-21st-TV/m2/rust/01/assessment.json b/data/chinese-21st-TV/m2/rust/01/assessment.json new file mode 100644 index 0000000..d33cac3 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/01/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "5", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "10/10=1", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Perfect!" # optional +} diff --git a/data/chinese-21st-TV/m2/rust/01/execution-result.txt b/data/chinese-21st-TV/m2/rust/01/execution-result.txt new file mode 100644 index 0000000..0d55993 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/01/execution-result.txt @@ -0,0 +1,10 @@ +地霜塔 +白月院 +白云庙 +金霜庙 +天翠庙 +白云院 +地云洞 +地霜庙 +黑雪馆 +龙星塔 diff --git a/data/chinese-21st-TV/m2/rust/01/output.txt b/data/chinese-21st-TV/m2/rust/01/output.txt new file mode 100644 index 0000000..d02176f --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/01/output.txt @@ -0,0 +1,31 @@ +好的,首先,我想说Rust是一个非常强大的系统编程语言,但它不是最适合文本生成的工具。不过,我会尽量用Rust来实现这个功能。 + +为了生成"武林外传"风格的建筑名,我们可以使用一些与古代武侠小说和电影相关的词汇来进行组合。这些词汇可以分为前缀、中缀和后缀,我们可以随机地组合这些词汇来生成新的建筑名。 + +以下是我为"武林外传"风格的建筑名提供的Rust代码: + +```rust +use rand::seq::SliceRandom; +use rand::thread_rng; + +fn main() { + let prefixes = vec!["玉", "金", "银", "龙", "白", "黑", "天", "地"]; + let infixes = vec!["翠", "霜", "风", "雨", "月", "星", "云", "雪"]; + let suffixes = vec!["阁", "楼", "庙", "寺", "馆", "院", "洞", "塔"]; + + let mut rng = thread_rng(); + + for _ in 0..10 { + let prefix = prefixes.choose(&mut rng).unwrap(); + let infix = infixes.choose(&mut rng).unwrap(); + let suffix = suffixes.choose(&mut rng).unwrap(); + + let building_name = format!("{}{}{}", prefix, infix, suffix); + println!("{}", building_name); + } +} +``` + +你可以安装和使用Rust的工具链(如`cargo`)来运行上述代码。当你运行这段代码时,它会为"武林外传"风格的建筑名生成10个随机名称。 + +请注意,为了能够运行这段代码,你需要在你的`Cargo.toml`文件中加入`rand`库作为依赖。 diff --git a/data/chinese-21st-TV/m2/rust/01/prompt.txt b/data/chinese-21st-TV/m2/rust/01/prompt.txt new file mode 100644 index 0000000..c71a422 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/01/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:rust +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的建筑名。 diff --git a/data/chinese-21st-TV/m2/rust/02/assessment.json b/data/chinese-21st-TV/m2/rust/02/assessment.json new file mode 100644 index 0000000..b9093d5 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/02/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "5", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "9/10=0.9", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Perfect." # optional +} diff --git a/data/chinese-21st-TV/m2/rust/02/execution-result.txt b/data/chinese-21st-TV/m2/rust/02/execution-result.txt new file mode 100644 index 0000000..780c355 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/02/execution-result.txt @@ -0,0 +1,10 @@ +商人 +剑客 +隐士 +镖师 +医者 +道士 +草药商 +木匠 +书生 +巫师 diff --git a/data/chinese-21st-TV/m2/rust/02/output.txt b/data/chinese-21st-TV/m2/rust/02/output.txt new file mode 100644 index 0000000..d07af2e --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/02/output.txt @@ -0,0 +1,36 @@ +为了生成武林外传风格的人物职业,首先我们需要考虑该电视剧的背景和风格。武林外传是一部古装喜剧,背景设在一个虚构的武侠世界。因此,我们可以考虑这个背景来生成相关的职业。 + +我们可以考虑以下几个步骤来实现这个生成器: + +1. 定义一个包含古代职业的列表,例如:书生、道士、商人、乐师等。 +2. 结合武林背景,添加一些特色的职业,例如:隐士、刺客、草寇、镖师等。 +3. 使用随机函数从这个职业列表中选择职业,确保每次生成的职业是不重复的。 + +下面是一个简单的Rust代码实现: + +```rust +use rand::seq::SliceRandom; // 用于随机选择列表中的元素 +use rand::thread_rng; + +fn main() { + // 定义一个包含职业的列表 + let professions: Vec<&str> = vec![ + "书生", "道士", "商人", "乐师", "隐士", + "刺客", "草寇", "镖师", "巫师", "医者", + "剑客", "渔夫", "木匠", "草药商", "铁匠" + ]; + + // 使用随机函数从列表中选择10个不重复的职业 + let mut rng = thread_rng(); + let chosen: Vec<_> = professions.choose_multiple(&mut rng, 10).collect(); + + // 打印选中的职业 + for (index, profession) in chosen.iter().enumerate() { + println!("{}. {}", index + 1, profession); + } +} +``` + +你可以安装和导入`rand` crate 来运行上面的代码。 + +请注意,这只是一个简单的随机选择方法。如果你希望生成更为复杂和合理的职业,可能需要结合更多的背景知识和逻辑来实现。 diff --git a/data/chinese-21st-TV/m2/rust/02/prompt.txt b/data/chinese-21st-TV/m2/rust/02/prompt.txt new file mode 100644 index 0000000..6e8a5ff --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/02/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:rust +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的人物职业。 diff --git a/data/chinese-21st-TV/m2/rust/03/assessment.json b/data/chinese-21st-TV/m2/rust/03/assessment.json new file mode 100644 index 0000000..6577b11 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/03/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "5", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "10/10=1", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Perfect." # optional +} diff --git a/data/chinese-21st-TV/m2/rust/03/execution-result.txt b/data/chinese-21st-TV/m2/rust/03/execution-result.txt new file mode 100644 index 0000000..01428be --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/03/execution-result.txt @@ -0,0 +1,10 @@ +赤柳巷 +悠山街 +紫泉巷 +赤月道 +玉花弄 +悠柳街 +金石弄 +翠竹街 +赤柳路 +玉月路 diff --git a/data/chinese-21st-TV/m2/rust/03/output.txt b/data/chinese-21st-TV/m2/rust/03/output.txt new file mode 100644 index 0000000..0a29bae --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/03/output.txt @@ -0,0 +1,27 @@ +首先,为了生成“武林外传”风格的街道名,我们需要考虑该电视剧的背景和特色。武林外传是一个带有喜剧色彩的古装电视剧,所以我们可以考虑一些古风和幽默的元素。 + +接下来,我将为你提供一个简单的Rust代码,用于生成这些街道名。 + +```rust +use rand::Rng; + +fn main() { + let adjectives = vec!["翠", "碧", "金", "银", "玉", "紫", "赤", "青", "悠", "古"]; + let nouns = vec!["云", "竹", "柳", "鹤", "鱼", "石", "花", "月", "泉", "山"]; + let suffixes = vec!["巷", "街", "路", "道", "弄"]; + + let mut rng = rand::thread_rng(); + for _ in 0..10 { + let adj = &adjectives[rng.gen_range(0, adjectives.len())]; + let noun = &nouns[rng.gen_range(0, nouns.len())]; + let suffix = &suffixes[rng.gen_range(0, suffixes.len())]; + println!("{}{}{}", adj, noun, suffix); + } +} +``` + +这个代码首先定义了三个词汇列表:形容词、名词和后缀。然后,它会随机选择每个列表中的词汇,组合成一个街道名,并打印出来。 + +为了运行此代码,你需要先安装Rust的随机数库 `rand`。你可以通过添加 `rand = "0.8"` 到你的 `Cargo.toml` 的 `dependencies` 部分来实现。 + +这个生成器产生的街道名将具有古风,但如果你想要更加符合“武林外传”的风格,你可以根据需要调整这些词汇列表。 diff --git a/data/chinese-21st-TV/m2/rust/03/prompt.txt b/data/chinese-21st-TV/m2/rust/03/prompt.txt new file mode 100644 index 0000000..9a11fb2 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/03/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:rust +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的街道名。 diff --git a/data/chinese-21st-TV/m2/rust/04/assessment.json b/data/chinese-21st-TV/m2/rust/04/assessment.json new file mode 100644 index 0000000..ace0257 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/04/assessment.json @@ -0,0 +1,12 @@ +{ + "model": "gpt4", # mandatory + "prompt_type": "m2", # mandatory, data only, code, code+library + "data_constraints_can_be_checked": "na", + "executable_data_constraints": "np", # mandatory only for M2/M3 + "number_of_options_in_the_generators": "10", # optional + "cultural_alignment": "4", # mandatory overall subjective assessment with expertise + "cultural_alignment_quantitative": "8/10=0.8", # optional + "executes": "no", # mandatory + "contains_true_generator":"no", # for m1/m2 should not simply configure the library https://gist.github.com/monperrus/744141e76501643c5970e1df0cfa00e4 + "comments":"Looks good." # optional +} diff --git a/data/chinese-21st-TV/m2/rust/04/execution-result.txt b/data/chinese-21st-TV/m2/rust/04/execution-result.txt new file mode 100644 index 0000000..dd32f87 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/04/execution-result.txt @@ -0,0 +1,11 @@ +地雄门 +天凤宫 +冰火凤堂 +霹雳龙宫 +九阴虎社 +万象龙帮 +九阳仙阵 +地鬼堂 +天龙帮 +九阳雌社 + diff --git a/data/chinese-21st-TV/m2/rust/04/output.txt b/data/chinese-21st-TV/m2/rust/04/output.txt new file mode 100644 index 0000000..19e43e9 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/04/output.txt @@ -0,0 +1,49 @@ +好的,我会用 Rust 来为《武林外传》生成十个合适的武林门派名字。 + +首先,我会用 Rust 的 `rand` crate 来生成随机数。我们可以先构建一个基本的结构体,然后使用组合的方式来生成门派名称。例如,我们可以设定一些前缀、中缀和后缀,然后随机组合它们以创建门派名字。 + +以下是一段示例代码,展示如何生成这些门派名字: + +```rust +extern crate rand; + +use rand::seq::SliceRandom; +use rand::Rng; + +struct MartialArtsSect { + prefix: Vec<&'static str>, + infix: Vec<&'static str>, + suffix: Vec<&'static str>, +} + +impl MartialArtsSect { + fn new() -> Self { + MartialArtsSect { + prefix: vec!["天", "地", "玄", "黄", "霹雳", "九阳", "九阴", "万象", "风雷", "冰火"], + infix: vec!["龙", "凤", "虎", "豹", "雄", "雌", "神", "魔", "仙", "鬼"], + suffix: vec!["派", "宫", "堂", "门", "社", "会", "教", "阵", "帮", "群"], + } + } + + fn generate_sect_name(&self) -> String { + let mut rng = rand::thread_rng(); + let p = self.prefix.choose(&mut rng).unwrap_or(&""); + let i = self.infix.choose(&mut rng).unwrap_or(&""); + let s = self.suffix.choose(&mut rng).unwrap_or(&""); + format!("{}{}{}", p, i, s) + } +} + +fn main() { + let generator = MartialArtsSect::new(); + for _ in 0..10 { + println!("{}", generator.generate_sect_name()); + } +} +``` + +这段代码定义了一个 `MartialArtsSect` 结构体,其中包含三个字符串数组,分别是前缀、中缀和后缀。`generate_sect_name` 方法会从这三个数组中随机选择元素,并将它们组合成一个门派名字。 + +运行 `main` 函数将打印出十个随机生成的门派名字。 + +注意:为了运行此代码,你需要将 `rand` crate 添加到你的 `Cargo.toml` 文件中。 diff --git a/data/chinese-21st-TV/m2/rust/04/prompt.txt b/data/chinese-21st-TV/m2/rust/04/prompt.txt new file mode 100644 index 0000000..54d7372 --- /dev/null +++ b/data/chinese-21st-TV/m2/rust/04/prompt.txt @@ -0,0 +1,4 @@ +扮演一名经验丰富的软件开发人员,你的任务是为电视节目生成一个伪造风格的生成器,并且不使用任何相关的lib。我会输入我希望你使用的编程语言和生成目标。 +编程语言:rust +电视剧:武林外传 +生成目标:请为武林外传这部电视剧生成十个合适的武林门派。