Datasets:

silver
/

lccc

dialog list
[ "你去那儿竟然不喊我生气了，快点给我道歉", "道歉！！再有时间找你去", "领个搓衣板去吧" ]
[ "我用 SEED.24 小时签到一次可以用 4 小时，对于我这种每天晚上逛一下的感觉不错", "SEED 早上刚被禁用还有一个月的 VIP 路线呢禁了之后才买的另一个买了一年结果用了一下午就挂了现在用了个极速网速差的很", "心疼你" ]
[ "咬咬牙这回要全入了！", "干完这一票我的会员等级就要升了！", "升了继续" ]
[ "记得还 … 我们普通人要搬三天砖才赚来的 20 元", "代表了哪里的普通人？", "我瞎说的" ]
[ "早点好起来啊。生日快乐", "好得差不多啦", "那很好啊" ]
[ "那么早！！我的考试周还没有开始呢！", "是啊，今年好快啊", "不止今年，我发现你每次都好早", "小心乌鸦嘴，下一次就最晚了" ]
[ "今天不知道能下么，不过天又冷了", "希望能 …", "第一场雪不是雪花的样子，注意防小冰雹哦", "嗯，你也是哈 …" ]
[ "小哥哥教教我", "怎么教", "言传身教" ]
[ "三姐吃瓜", "三姐想喝旺仔", "我也想喝", "你去买", "我买回来就是我喝", "我不管我也要", "你来取", "我怕去了就出不来了" ]
[ "头发是不是长很长了", "我觉得长得好慢", "我头发长的超级快" ]
[ "保持愉悦心情", "哦啦～三亚玩得 happy 不？", "还不错，下次一起来！", "木问题，多吃海鲜，水果～" ]
[ "长了痘痘了", "我也长痘痘痘痘最可恶了", "一般我不长痘的", "看你拍的照片皮肤都蛮好的，我一般都长痘", "我一般不长的！可能前段时间喝酒了！所以大姨妈来了一下子排出来了", "哦哦，那不要紧的，过几天会消掉的", "嗯嗯嗯，还好我不容易留疤，不然好郁闷", "哦，好皮肤羡慕", "我也不算好皮肤啦，也会因为一些愿意冒痘痘，我又很喜欢吃辣", "我也喜欢吃辣，每次吃完都冒好多", "哈哈哈！我是大姨妈来前后会冒一点！" ]
[ "我觉得主餐有点腻 … … 薯条不粘酱超好吃！！！那个炸的鱼条也好吃！！", "没点别的了 ~ 早知道应该再问问你的", "你讲在看电影我就没多说 … …" ]
[ "嫉妒使我丑陋", "我发群里那个火锅叫蜀捞还有小龙虾！", "等你回来我们去吃！" ]
[ "小沫我又要看书去了命苦啊，好吧，晚点再来看大家", "认真点 ~ 别漏了知识点 …", "哎，越看越困", "怎么高中生患的都是同一种病？ …", "对的，渴睡症，哈哈", "好吧！我以前读书的时候看书也是爱睡觉的 … …", "哇，看书爱睡觉的娃儿出来握个手", "不过我看小说可有劲儿了、哈哈！", "我也是我也是" ]
[ "开封清明上河园，住在里面还不错，玩上空气很好，也没人，清净的很！", "。。。这是我老家。。。回去太多次咯。。。", "关公面前耍大刀了！" ]
[ "我的心好痛你们已经打情骂俏到这个程度了", "说了你没机会了的嘛你以为我骗你", "不！我还是相信她爱我，我也可以很污我要开着保时捷驾着七彩祥云去荆州迎娶她过门", "现场污一个撒可是你有我可爱吗", "我现场发挥比较污，谢谢，大家都叫我萌萌，按着么说，我应该比你可爱" ]
[ "啊。这不是我喜欢吃的那种糖么。同名你给我留一个毕业的时候给我", "哈哈，去大同买的多会去学校了我看能不能憋住", "不么，你憋住。我要一颗就一颗", "应该行，但是估计干了", "冷藏", "脑补一下，一个冰箱里放的各种饭菜，然后有一个糖糖在角落里", "哈哈哈。真逗了" ]
[ "所以大妈想把你变成儿媳妇吗", "有幸见到了大妈全家，大妈儿子是魁梧的大叔", "岔辈儿了。天天晚上十二点在卧室踢翻啤酒瓶报复大周末扰清梦的人，反正马上要搬走了", "这年头六七十的也得叫阿姨，不敢叫奶奶" ]
[ "中午回去给你弄冰棍要不要啊", "你自己会做？", "没有冰箱要怎么做！！！！你不是要冰棍，，棍嘛", "我以为你要给我做", "有冰箱就给你做啦", "好了咯" ]
[ "锤死你 … … 阳光明媚我在去秋游的路上了", "看到欢快的人儿就想毒舌。。说好的论文呢！", "周末周末周末" ]
[ "西安全是好吃的", "星星，我们走", "星星像皮皮虾么", "皮皮星" ]
[ "你才是豪", "别装了学长", "我装啥了" ]
[ "只吃阿肥发扁食的默默走过～～～～", "你们在农大街？我也快回去了", "没！我刚上完外教课回到宿舍！", "哦。。。。那快回去吧。天冷", "恩恩！早回来啦！啃猪肉脯中～～～", "这也是补冬咯。。。有肉就好", "别别，这样会显的更寒酸可怜啊！", "。。同学，有你这样想的嘛。。。我回来啦！！？" ]
[ "约赚钱？", "带你做高分子水珠泡泡", "那个是什么水？？？" ]
[ "我在家。来玩 … … 无聊啊", "姐没空，要上课", "晚上去你家喝", "要蹭锅吗？今晚我们聚餐", "求邀请", "昨晚怎么不邀请我" ]
[ "你那些朋友名字真搞笑", "他们原本都是怪人", "他们 n 包括你吗？", "不，哈哈哈哈" ]
[ "咱家这人事局，临时的，工资少", "是办进去哒？还是就是暂时做一段时间 …", "暂时的", "那就先做着，长经验呗。宝贝加油 …", "哦了，呵呵。" ]
[ "云画的月光看了吗？", "没有啊，好看吗？", "超好看", "这真的是要我入坑啊。我真的一直在平复我爱他的心情，妄图压下这种情感啊！" ]
[ "你怎么变的眼睛大了，开眼角了？", "？？？？？？？？我眼睛一直不小好吗", "哈哈哈哈，你最美" ]
[ "生快", "谢谢波，是我的身份证生日。", "今天去哪疯啦" ]
[ "抱抱", "你啥时候开学啊", "3 号不想告诉你怕你难过", "那你还说！" ]
[ "我的天美炸，晚上是不是不吃饭", "不是！我是大肥猪！！！", "不超过 140 都是仙女" ]
[ "浪费粮食，真的好吗", "等来年春天来了，再拿出来煮", "肯定不能吃了吧", "要不你去试试？", "微波炉反复加热肯定不能吃了", "会不会变爆米花？", "红豆变爆米花，你脑洞好大啊", "第一个是放大米啊。还是我看错了。？", "我一直以为爆米花是玉米做的", "我错了，别笑我", "哈哈哈哈哈哈哈哈哈 … 我没有笑，我不笑你 … … … 哈哈哈哈哈哈哈" ]
[ "有多少权贵的子女玉帛在外国？那么到底他们爱的是哪个国家？", "你这没有明确目标，没有事实证据，就这么不痛不痒的撂下一句话，你是想这么样呢？就算黑也要有手上点货，你这样显得你很愚昧。", "你真可悲可叹", "能说点有料的东西吗？只知道说一些 “ 可悲 ” 、 “ 无知 ” ，显得你很词穷啊" ]
[ "你们肿么这么早去学校？", "在家无聊没人玩呗！！！！", "那你去学校有人玩？", "有啊，很多人额！！！" ]
[ "警告！老人儿童等不得在冰面玩耍，以免给警察添麻烦！", "老人抄近道，掉下去了", "我刚刚还在纳闷怎么会掉进去" ]
[ "你地两个有钱婆，有钱就身痒，。。。", "好穷吖", "有钱都比你使穷啦。。。甘买也。。。", "人生在世" ]
[ "啥时候回？张老先生给你寄吃的了 ~", "啊？真的啊我那回就是开个玩笑的啦", "真的是真的", "太不好意思了" ]
[ "南方姑娘谁说不会包饺子", "你会？", "那必须！", "你什么时候还成了微女郎了", "能证明自己是女子的机会我怎么可能放过", "看来没门槛啊我也试试" ]
[ "十一失恋，痛哭到低烧。我也许不会再相信爱情了", "看来我们是一样的", "都要努力放下" ]
[ "你还能一个动作半个小时", "要试试吗", "举报了", "开个玩笑，这么认真干嘛", "我就吓吓你", "你知道？" ]
[ "满天都是小星星诶眼影好看", "收到钥匙圈说一声哟果然欣赏我的眼影", "收到返图给你 ~ 早安呀" ]
[ "还不让我帮你征友", "我发现不论八字紫微还是掌纹，算出来我都是个晚婚者，窘", "你别老自我暗示啊，争取 30 岁之前吧", "这个啊 … 我尽量吧" ]
[ "阿门 ... 愿主保佑你 ...", "一加一等于几", "等于二" ]
[ "甜心～你最近太甜了文案里读不出哀伤", "哈哈哈哈哈你忘记小号", "小号简直是齁满世界都是小粉红" ]
[ "想看他帅， 31 号《闺蜜》", "电影吗？", "对呀" ]
[ "二姐闭眼照相的功力越发精进了", "是睁眼", "睁眼？眼呢？", "就这么大", "风沙应该被挡得严严实实" ]
[ "作业做完了啊。", "做好回来了 - -", "我还没去 …" ]
[ "好久没跟你聊天了嘛", "好久不见", "我天天来" ]
[ "加油加油，我家萨摩犬瘟治疗两个月出院，在家调养了一个月，现在棒棒的了，陪着它很重要", "嗯嗯谢谢他状态也可以一个半月了", "之前医生跟我说熬过两个月就基本上没大问题了棒棒棒" ]
[ "没刘海就换，有刘海 p9 就再战一年", "好像都不喜欢刘海", "大部分花粉应该都不希望有刘海", "对啊，结果还是有刘海" ]
[ "我今天想请客户吃还没吃成也", "请客户居然不去九九", "客户也要分几种哈办正事的一般都不得出去吃" ]
[ "一路走好 ~", "我到啦", "记得带礼物，刚回来，累趴" ]
[ "你买材料我做", "太贤惠了我也想次", "新子肯定会做毕竟双鱼是完美的", "哈哈哈哈哈哈哈是！双鱼最完美！" ]
[ "你好哇﹏", "我不好，老子要睡了，你也快睡吧", "你现在还可以睡！！" ]
[ "你有没有吹乱了头发", "在风中任性的飞舞", "让它潇洒的飞吧" ]
[ "我觉得辉月和水晶也挺好的加上吧，虽然我投了咖啡豆，不过最后这句话莫名很暖了", "我宁可叫防御塔都不要叫咖啡豆", "越来越觉得咖啡豆好傻 … …" ]
[ "惠州哪个度假村好玩？", "度假村？惠州木有度假村。", "木有么？不是有那个什么湾来着", "双月湾？大亚湾？双月湾要在高处才能看到双月弧型，大亚湾 n 年没去，不知现在是怎么样。惠州跟珠海差不多，现在没有珠海干净，住着舒服，但是没有什么可以游玩的" ]
[ "你好，这是怎么受伤的啊？好好休息，祝你早些好起来哦～", "楼梯上摔下来的，等消肿了要做手术，谢谢关心", "不要客气，我是医生，可以和你相互关注一下吗", "不用了我现在天天在医院谢谢" ]
[ "你玩狼人杀都不叫我，我现在变了，我拿狼人经常焊条", "你变了，我就昨天下午玩了几把", "玩叫我啊！", "厚啊" ]
[ "还不睡。", "我现在在家！！", "嗯，国庆放假了", "不是，我请假了" ]
[ "为什么穿长袖", "10 度你说呢哈哈", "啥地方天气温度这么好", "西藏啊", "好疯狂的节奏" ]
[ "只有我关心报的什么课外班吗？", "游泳班", "游泳潇洒夫妇自己教不是更好吗？" ]
[ "谢谢亲爱的知道你一直在熟悉的名儿熟悉的头像谢谢你", "不行哭了啊，快去睡眼睛肿了心疼你～", "不哭啦嘿嘿晚安啦你也早睡", "睡吧不行回啦" ]
[ "听说长得好看的姑娘都有", "我特别纠结就是今天提醒我续费成功可是我没续费啊。。", "厉害了！那就是有人在默默地给你续费", "不会吧谁这么好", "就是说嘛！要不然就是系统错误了，但是不可能", "我现在特别怕事偷偷的扣了我的钱", "嗯嗯，对哈，这点没想到，系统自动续费" ]
[ "帮你帮你留二十条", "谢谢谢谢啦！！", "爱你！" ]
[ "华为锻炼人", "朝九晚九六天班", "压榨花生油" ]
[ "哦为什么不来外联尼？", "外联不是没要么", "哪个？没有印象" ]
[ "煎饼居然这么大", "山东尺寸", "可以有" ]
[ "我是金砖", "只是比人家大三岁而已怎么觉得是剩女呢", "我比谁大三岁", "大一的小盆友啊～", "没准还比我大" ]
[ "到哪里干嘛不是江苏吗", "不是。是广州。", "我知道是广州，你不是广州人吧" ]
[ "长得是真好看，被穿搭给拉下水了", "品味很重要顶你这个女孩穿的太随意", "？？？？？？？品味？！" ]
[ "回去约你", "何时归？", "月初", "好嘞" ]
[ "相爱两个人的事情合不合适两个家庭的事情", "现在才明白，我已后悔莫及。最终相爱的人成了前夫，我一无所有，就仅仅因为爱情，爱的代价。", "我即将也要离婚了，受不了他父母的强势，老公的软弱" ]
[ "腿变长了", "角度好", "该请拍照的吃饭了", "这种人真不多", "其实我也是这样的", "你在做梦", "看来你还不了解我" ]
[ "你回家了么", "是呀，昨天回来的", "也是走得很匆忙" ]
[ "哎呦，来了帝都也不说一声", "哈哈 ~ ~ 在帝都封闭培训呢 ~ 晚上华丽姐会回来看我们 ! 等回来了求蹭饭 ~", "哈哈当然 OK 啊" ]
[ "听说你早上来了我没在", "是想去看你只能说句后会有期了你还好吗", "还好还好就是迫不及待想卸货" ]
[ "你回家了？", "嗯，回来了，明天走！", "嗯，好的。" ]
[ "流金水我觉得好像我们这个年龄也不太适合，就是瓶子好看，哎，护肤上面真的要再做功课啊", "要是有专柜就可以直接去试了上脸最直观", "好，这个还是最中肯咯" ]
[ "你们的期中考？", "不是，我们没有期中考", "反正是要考试" ]
[ "梦见自己在做白日梦", "讨打", "大晚上不睡觉发些憋憋言", "心累", "累个毛线睡个懒觉起来屁事没得了快去睡了" ]
[ "宝宝你是不是傻", "哈哈哈哈哈网红回复我了", "么么" ]
[ "来嘛来嘛来拿", "请寄给我", "好嘛好麻", "这个星期带我飞！" ]
[ "趴着睡、脸朝下", "胸也平了", "脸朝下、身子朝上不要谢我", "机智如你" ]
[ "原来我是后知后觉", "哈哈哈哈哈，涛哥，你反应迟钝了", "最近秀逗了，好久回重庆约哟", "一定哟" ]
[ "这个搭配有什么奇怪啊？惊艳啥在广东是最常见的汤", "是啦是啦，我是说马蹄啦！", "就是加马蹄啊玉米马蹄排骨偶尔再加点胡萝卜都是这样做的", "好吧，我今天就打算加胡萝卜", "看看广州人多会吃啊", "我是天生广州人 …" ]
[ "有没有人组团一起纹眉可以便宜几百块呢", "还有要去纹眉的吗？", "你去吗" ]
[ "无聊？怎么会", "剧情真的很无聊啊", "唉，挺好看的啊，看可能兴趣不同" ]
[ "我觉得你应该选择智慧。长长你的脑子", "我觉得他的选择很对，别开生面，我也要改我的答案了，你凭什么限制别人", "因为你也缺脑吧", "偶像你不能这么说我" ]
[ "钢琴小公主", "钢琴小公主早就不再人世间", "我又忘记什么软件了这个" ]
[ "你们爸妈都是怎么打亲情牌的？", "比如前段时间刚养猫，已经买回来了，没过几天我把突然很冷漠的说要么给猫扔了，要么你和猫一起搬走毫无征兆的，然后我就搬出去了", "买之前没沟通吗" ]
[ "抬头都是爱你的形状！", "谢谢里面都是我爱吃的", "祝你早日增肥成功", "夏天来了想胖都难" ]
[ "早安我们都是勤快的", "俺悲催啊", "是要晨练还是早读" ]
[ "我们都没有动漫社", "我们这里有好多社团。", "真好" ]
[ "你又知道我不是一个人", "一个人就更傻了", "我们十几个人呢", "知道你朋友多" ]
[ "嗯 ~ 很好听的呢 ~ 第一次发现毛聪唱的比以前的好听多了 ~", "大邱慧今天在哪里看的撒？我们咋没看到你 … …", "你猜 ~" ]
[ "最近有各种检查，有点忙 .", "哈哈，你现在是科员是吧？容易高升吗？", "哪有那么容易，", "你可以的，我就等你高升，把我调到民宗" ]
[ "铃声是说电话铃声。", "给我设的是啥哈哈", "你又不给我打电话。" ]

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YAML Metadata Warning: The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for lccc_large

Dataset Summary

lccc: Large-scale Cleaned Chinese Conversation corpus (LCCC) is a large Chinese dialogue corpus originate from Chinese social medias. A rigorous data cleaning pipeline is designed to ensure the quality of the corpus. This pipeline involves a set of rules and several classifier-based filters. Noises such as offensive or sensitive words, special symbols, emojis, grammatically incorrect sentences, and incoherent conversations are filtered.

lccc是一套来自于中文社交媒体的对话数据，我们设计了一套严格的数据过滤流程来确保该数据集中对话数据的质量。这一数据过滤流程中包括一系列手工规则以及若干基于机器学习算法所构建的分类器。我们所过滤掉的噪声包括：脏字脏词、特殊字符、颜表情、语法不通的语句、上下文不相关的对话等。

Supported Tasks and Leaderboards

dialogue-generation: The dataset can be used to train a model for generating dialogue responses.
response-retrieval: The dataset can be used to train a reranker model that can be used to implement a retrieval-based dialogue model.

Languages

LCCC is in Chinese

LCCC中的对话是中文的

Dataset Structure

Data Instances

["火锅我在重庆成都吃了七八顿火锅", "哈哈哈哈！那我的嘴巴可能要烂掉！", "不会的就是好油腻"]

Data Fields

Each line is a list of utterances that consist a dialogue. Note that the LCCC dataset provided in our original Github page is in json format, however, we are providing LCCC in jsonl format here.

Data Splits

We do not provide the offical split for LCCC-large. But we provide a split for LCCC-base:

train	valid	test
6,820,506	20,000	10,000

Dataset Creation

Curation Rationale

[Needs More Information]

Source Data

Initial Data Collection and Normalization

[Needs More Information]

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

[Needs More Information]

Discussion of Biases

[Needs More Information]

Other Known Limitations

[Needs More Information]

Additional Information

Dataset Curators

[Needs More Information]

Licensing Information

[Needs More Information]

Citation Information

Please cite the following paper if you find this dataset useful:

@inproceedings{wang2020chinese,
  title={A Large-Scale Chinese Short-Text Conversation Dataset},
  author={Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},
  booktitle={NLPCC},
  year={2020},
  url={https://arxiv.org/abs/2008.03946}
}

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Size of downloaded dataset files:

979 MB

Size of the auto-converted Parquet files:

1.68 GB

Number of rows:

18,858,265

Models trained or fine-tuned on silver/lccc