Duplicate from AudioTuring/Audio-Turing-Test-Corpus

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-nc-4.0
+language:
+- zh
+tags:
+- Audio
+- Corpus
+- mlcroissant
+task_categories:
+- text-to-speech
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: tts_corpus
+    path: ATT_Corpus.jsonl
+  - split: trap_corpus
+    path: Trap_Corpus.jsonl
+---
+
+# 📚 Audio Turing Test Corpus
+
+> A high‑quality, multidimensional Chinese transcript corpus designed to evaluate whether a machine‑generated speech sample can fool human listeners—the “Audio Turing Test.”
+
+## About Audio Turing Test (ATT)
+
+ATT is an evaluation framework with a standardized human evaluation protocol and an accompanying dataset, aiming to resolve the lack of unified protocols in TTS evaluation and the difficulty in comparing multiple TTS systems. To further support the training and iteration of TTS systems, we utilized additional private evaluation data to train Auto-ATT model based on Qwen2-Audio-7B, enabling a model-as-a-judge approach for rapid evaluation of TTS systems on the ATT dataset. The datasets and Auto-ATT model can be cound in [ATT Collection](https://huggingface.co/collections/AudioTuring/audio-turing-test-6826e24d2197bf91fae6d7f5).
+
+## Dataset Description
+
+This dataset provides 500 textual transcripts from the Audio Turing Test (ATT) corpus, corresponding to the "transcripts known" (white-box) setting. These samples are part of the full 1,000-sample benchmark described in our paper, with the remaining 500 black-box entries hosted privately.
+
+To prevent data contamination, we only release the white-box subset publicly. The black-box subset, while evaluated under identical protocols, is hosted privately on [AGI-Eval](https://agi-eval.cn/evaluation/home) to safeguard the integrity and future utility of the benchmark.
+
+This separation between public and private subsets is a core part of the ATT design, ensuring the benchmark remains a trustworthy and unbiased tool for evaluating TTS systems.
+
+The corpus spans five key linguistic and stylistic dimensions relevant to Chinese TTS evaluation:
+
+* **Chinese-English Code-switching**
+* **Paralinguistic Features and Emotions**
+* **Special Characters and Numerals**
+* **Polyphonic Characters**
+* **Classical Chinese Poetry/Prose**
+
+For each dimension, this open-source subset includes 100 manually reviewed transcripts.
+
+Additionally, the dataset includes 104 "trap" transcripts for attentiveness checks during human evaluation:
+
+* **35 flawed synthetic transcripts:** intentionally flawed scripts designed to produce clearly synthetic and unnatural speech.
+* **69 authentic human transcripts:** scripts corresponding to genuine human recordings, ensuring evaluators can reliably distinguish between human and synthetic speech.
+
+## How to Use This Dataset
+
+1. **Generate Speech:** Use these transcripts to generate audio with your TTS model. Pay attention that here are some phone numbers, email addresses, and websites in the corpus. Due to potential sensitivity risks, we have masked these texts as placeholders: [PHONE_MASK], [EMAIL_MASK], and [WEB_MASK]. However, to properly test the TTS system’s capabilities in this regard, please replace these placeholders with actual content before use.
+2. **Evaluate:** Use our [Auto-ATT evaluation model](https://huggingface.co/AudioTuring/Auto-ATT) to score your generated audio.
+3. **Benchmark:** Compare your model’s scores against scores from other evaluated TTS models listed in our research paper and the "trap" audio clips in [Audio Turing Test Audio](https://huggingface.co/collections/AudioTuring/audio-turing-test-6826e24d2197bf91fae6d7f5).
+
+
+## Data Format
+
+### Normal Transcripts
+
+```json
+{
+  "ID": "poem-100",
+  "Text": "姚鼐在《登泰山记》中详细记录了登山的经过：“余始循以入，道少半，越中岭，复循西谷，遂至其巅。”这番描述让我仿佛身临其境地感受到了登山的艰辛与乐趣。当我亲自攀登泰山时，也经历了类似的艰辛与挑战。虽然路途遥远且充满艰辛，但当我站在山顶俯瞰群山时，那份成就感与自豪感让我倍感满足与幸福。",
+  "Dimension": "poem",
+  "Split": "white Box"
+}
+```
+
+### Trap Transcripts
+
+```json
+{
+  "ID": "human_00001",
+  "Text": "然后当是去年，也是有一个契机，我就，呃，报了一个就是小凯书法家的这位老师的班。",
+  "Ground Truth": 1
+}
+```
+
+* **ID**: Unique identifier for the transcript.
+* **Text**: The text intended for speech synthesis.
+* **Dimension**: Linguistic/stylistic category (only for normal transcripts).
+* **Split**: Indicates the "white Box" scenario (only for normal transcripts).
+* **Ground Truth**: Indicates if the transcript corresponds to human speech (1) or flawed synthetic speech (0) (only for trap transcripts).
+
+## Citation
+
+This dataset is openly accessible for research purposes. If you use this dataset in your research, please cite our paper:
+
+```
+@software{Audio-Turing-Test-Transcripts,
+  author = {Wang, Xihuai and Zhao, Ziyi and Ren, Siyu and Zhang, Shao and Li, Song and Li, Xiaoyu and Wang, Ziwen and Qiu, Lin and Wan, Guanglu and Cao, Xuezhi and Cai, Xunliang and Zhang, Weinan},
+  title = {Audio Turing Test: Benchmarking the Human-likeness and Naturalness of Large Language Model-based Text-to-Speech Systems in Chinese},
+  year = {2025},
+  url = {https://huggingface.co/AudioTuring/Audio-Turing-Test-Transcripts},
+  publisher = {huggingface},
+}
+```

Trap_Corpus.jsonl

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+{"ID": "human_00001", "Text": "然后当是去年，也是有一个契机，我就，呃，报了一个就是小凯书法家的这位老师的班。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00002", "Text": "和开发合作过程中呢，开发关心你们做的这些东西吗？我相我相信大部分开发呢他既不了解。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00003", "Text": "那顺着上一期节目说下去啊上一期我们最后颁的是最佳球队嘛，那，第十三个奖项就是赛季最失望球队啊。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00004", "Text": "是呃很多同老师都阳了，所以对于那些中小学而言呢，那老师阳了怎么办呢？后来就并班，所以。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00005", "Text": "没有那么能用得上的东西，但是其实这也挺奇怪的因为我自己平时我觉得我买每个东西之前。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00006", "Text": "嗯我现在用的望远镜其实都不贵都不贵都都是没有超过几千块钱的。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00007", "Text": "然后我们大家一直比较熟悉的这个L一L二其实就是我们理解的这个辅助驾驶啊。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00008", "Text": "那用这种比较中性比较亲善的词去称呼印尼的华人，有很多这种很积极的那种呃。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00009", "Text": "高三，刷了那么多年题的姑娘她有严重的焦虑症抑郁症和强迫症。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_000010", "Text": "呃基本观点是挺好的啊，就说可能市场这个，呃，怎么利用？我觉得这倒是可能。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00011", "Text": "就是我总是会在吃饭的同时干点别的事情，比如说刚像刚刚小白说的就是会想一些事情。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00012", "Text": "很重要的一个要点，先提到了一个文化嘛，那什么叫文化呢？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00013", "Text": "他们就是比如说有豆瓣的他们就趴在豆瓣上，然后，有论坛了就趴在论坛上。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00014", "Text": "然后然后说现在都是流行流行用这个，他觉得以前老的电视机就是。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00015", "Text": "但是如果说从这个电视剧导演呃呃电影导演奶奶拍电视剧的话。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00016", "Text": "所以说就这个方面来讲我觉得，他就比狂飙更好的地方就在于我们不仅仅是。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00017", "Text": "放的是铠甲勇士，的是别其他的动画片对吧，啊也不是铠甲勇士，因为铠甲勇士还要在后面，放一个其他动画片。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00018", "Text": "这个嗯，我们其实在调查九零后和零零后他们根据自己的兴趣和爱好他们是强个体的群体。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00019", "Text": "一算呢全是机会，你看看后边儿全是机会，债务，机会咋出来都不知道家人。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00020", "Text": "比较成统的新闻思路关注更多的就是一些社会问题尤其是一些结构性的比较大的问题。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00021", "Text": "记到我们的心坎上去这样子的话我们都知道在遇到任何事情的时候。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00022", "Text": "那我们呢流行一句话叫正义不死却总在做俯卧撑，你放到了这个句子里边儿你怎么去理解这句话呢？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00023", "Text": "收货的时间也是被无限期拖长了，就是以前那种在国内购物就是大家说的非常自豪的那种，物流贼快那种感觉没了。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00024", "Text": "从你单向的去传播BRANDING然后现在应该到更多的去关注到你的消费者。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00025", "Text": "那个第一堂课的时候我就说了一个人走的很快啊众人，呃众人行远，独行速，你你一个人你会护是走的非常的快。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00026", "Text": "你就是放白糖的对不起我不要，这个代表当然我们叫做元气森林对不对？但是不仅限于元气森林低糖的零食。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00027", "Text": "找了，然后打挨个儿打电话去问要不要你这样儿的话是一分钱不花这样儿的说假如说这样儿呢这样儿的面试。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00028", "Text": "在技术上面的这个技术有没有很大的一个壁垒，呃这个壁技术的差异度怎么样？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00029", "Text": "但是好听完了之后，那个角色音的感觉就是给人，呃没有带入情绪，就是在读旁白的一样，嗯。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00030", "Text": "那个朱婷姐还有那个芳姐，说的我感觉特别深刻，就是说怎么？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00031", "Text": "本质上也是一种公关行为，但是现在有大量的年轻人，就是他们买了一个东西之后他们就会。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00032", "Text": "嗯，可以，也可以理解为说基于节点编辑去去实现一个游戏逻辑的过程，就是可能，有一些开发的朋友们会知道说。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00033", "Text": "呃，我其实可以接受我们的这种堕落因为而且大家都是匿名的其实大家不知道是谁。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00034", "Text": "很激怒，公众的就是那种怎么这都是一条条鲜活的人命你说是素材。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00035", "Text": "把没有训练过的放松和演绎当中的放松感受给混淆了。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00036", "Text": "五加二轻断食必须要求体脂秤，阿妹没有站上体脂秤她一点儿就是没这种感觉啊。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00037", "Text": "就是一个转型的问题，就是你如果想担任团队更核心的角色或者说走向领导岗位。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00038", "Text": "呃而它的叙事结构，啊就是它的叙事组织，它的叙事结构啊，我们看它是紧密的，联系着两个，啊。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00039", "Text": "容易比较累比较疲惫容易吃的多，那么如果再轻断的话容易情绪抓狂哈。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00040", "Text": "嗯，大格局嘛既然说那确实有啊，但是现实这么大格局的，反正我经历过这么多啊。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00041", "Text": "他就是吃，那个，脚的部位来说觉得我觉得并不是特别惨，但他的问题是在于他的心态。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00042", "Text": "不念了，爸爸妈妈知道的时候已经阻止不了我就是毅然决然的做，辍学了我就决定要出来打工。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00043", "Text": "因为我觉得我好像更多的关注还是就是韩国文学对外引进比如说到中国的一些内容所以我感觉。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00044", "Text": "所以说在讲这个用天下谷在讲恒德的足是什么，是在讲它的作用。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00045", "Text": "就是给到东东的一个回应，那另外就是刚才GAMES提到的。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00046", "Text": "嗯，我们去尊重每一个人的，IDEA呃意见，但是在这个平台让。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00047", "Text": "他引以为傲那些东西有多么的不值一提有多么的卑微，我是觉得是是在讲这件事情。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00048", "Text": "但是到了曼联之后呢他能不能够经过腾哈赫的调教变得更强啊整让整个。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00049", "Text": "所以这个，也是在后来吧，我思考很多，就在某某些时候选择离职的时候到底是因为什么？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00050", "Text": "嗯，那就，让那个牛牛做一个测试吧，牛牛你上麦看一下，能上吗？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00051", "Text": "当然了当然这个责成也可以具体再说，那你具体上哪一本儿？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00052", "Text": "三个人就各凭本事跳下车，谁要是被摔了谁就是活该，往往这时候儿就会出大笑话。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00053", "Text": "但是前一段时间是呃就是我我是青年是跟着快手的主播，然后前面一直演，呃拍戏。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00054", "Text": "呃企业的需要和这个生产实际的这个需要是这个意思吗？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00055", "Text": "我们就有请，啊柳国老师啊为我们大家，聊一聊，关于四个县的建立。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00056", "Text": "他们去定义一个比赛规则对吧那么理所当然的在这个规则当中胜出的人他们能够获得更好的实习机会。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00057", "Text": "请问，呃这里买的东西，那个品质好吗？我就这样发过去。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00058", "Text": "有些好事儿，其实跟自己的人性是不太一致的他是多少有一点要给自己一点。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00059", "Text": "国家还还将重点的推动研发和生产，啊研发和生产。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00060", "Text": "那所以我觉得火箭还是在一个重建的初期阶段，火箭就像这个超儿哥说的这个重建他是要花时间的。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00061", "Text": "呃，是不是第四遍了这是第五遍，持而盈之，不如其已。揣而呃揣而。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00062", "Text": "因为，一个个小目标达成的过程，就是，呃创造一个又一个的大的目标，啊创造奇迹的过程。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00063", "Text": "但是你要说真有毕业难那真是没有什么办法你只能拿热水去给他在那儿誊。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00064", "Text": "可能赚钱就会，相对，创作也好就会门槛儿更高一些，是这意思吧。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00065", "Text": "而最终呢他回头看，诶有的人得到了啊他会觉得这个人是幸运，啊实际上不是的。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00066", "Text": "那么把这样两本书放在一起呃做比较做相互解读是需要做出一点解释的我待会儿会说。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00067", "Text": "基本上，差不太多，因为也没有啥新的东西出现。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00069", "Text": "加工的这个过程当中，它本身的污染可能性就不小的，鸡蛋里最，表层最多的可能就是。", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "human_00070", "Text": "我觉得，范姐是不是都觉得无语了，不说话了？", "Ground Truth": 1, "Split": null, "Dimension": null}
+{"ID": "ai_00001", "Text": "当然互联网它有一个特色特色啊包括我们喜马拉雅也有就是方便生活抚慰情绪。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00002", "Text": "首先疑问的时候儿他的语速就有一点儿比后面还要慢了，比正常的叙述和讲话还要慢了。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00003", "Text": "也希望自己能够在，口才，演讲这方面呢多加一个提高，能够克服自己的一些，惰性。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00004", "Text": "不是说只有第一名可以前一百名也行，只要你能够做出好的作品都是可以的。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00005", "Text": "这个陈平呢是这个，陈白，就是这个男主角儿的这个。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00006", "Text": "约了个一V1，然后给他读本儿，这个给做示范的时候，他来的是第六周那个第一篇。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00007", "Text": "路两边还种了漂亮、笔直的云山，沿着公路一直蜿蜒而上，这时候就要给停顿了。为什么？", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00008", "Text": "要不然去你的家乡好不好？盖一座木头房子、种种田、养养花也是很。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00009", "Text": "虽然远离市区，路却修的很好，每隔一段距离都设有关卡。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_000010", "Text": "那小剧场要求的就是比较高一点的，就是素质高一点，然后专业性强一点的演员。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00011", "Text": "我都没有学历的证明，我只是一个济公的证明，出济公、中济公高济公这个证这样的证书。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00012", "Text": "是劝你不要让他去再接受痛苦了，所以这一点希望这个朋友们能够了解。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00013", "Text": "最高的学历是硕士学历，然后他们也可能通过各种各样的方式再继续深造。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00014", "Text": "到2025年之前的统计是缺口达到2500万，所以这个职场。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00015", "Text": "不是不可以选择的，而且现在制造业和各位想的不大一样了。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00016", "Text": "而且就是现在希望股市回暖的是哪批人？是买了的人，不买的人还想跌？", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00017", "Text": "都可能是一个好的发展，与其我在3本上一个金融系，我真的不如进入。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00018", "Text": "我如果要开饭馆，我是不是得要一个厨子？OK，职业教育的人就是这个厨子。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00019", "Text": "你的孩子是不是喜欢和一大堆孩子能够和一大堆孩子长时间的相处？", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00020", "Text": "那各位现在兽医有多么的缺，兽医院有多么的赚钱？", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00021", "Text": "他们可能如果他们从事，比如说未来没有很好的那个就业渠道，就变成农民工了。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00022", "Text": "国脚张玉宁说依然每天吃海参这条微博我也关注到了。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00023", "Text": "结果女儿刚到家，就接到了妈妈的电话，说你回来吧，我想你了。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00024", "Text": "那么如果这个孩子他真的很平庸，因为我遇到过一对父母。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00025", "Text": "那如果说我们能够把中职教育，高职教育真正普及了，让人们所能接受了。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00026", "Text": "但是我要讲怎么合作？就是学校帮我招生第一年，然后再。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00027", "Text": "您起1000人的工厂，一年只投10万人民币的培训费，而且是用于高管和中层以上的。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00028", "Text": "如果你说这个地方周期涨了一个两个，这个没有什么太高的价值。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00029", "Text": "但是他是上市公司，他有品牌效应，然后他是百亿级的，或者是20亿级的这种规模。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00030", "Text": "当时有一个情况，就是我的培养出来大概一年培养出来的员工。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00031", "Text": "他就已经天天不知道该抱着谁哭了，其实他是没有办法经受社会的毒打的。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00032", "Text": "作为家长你怎么看这个新修订的职业教育法是在5月1号起就试行了，那么此前。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00033", "Text": "现在已经有一些学校，他们很主动的在跟企业进行对接。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00034", "Text": "然后我就除了照顾父母，我就什么都不能做，我想他们也是在选择一种。", "Ground Truth": 0, "Split": null, "Dimension": null}
+{"ID": "ai_00035", "Text": "职业就是通过们根据孩子们的特点增加一些课程。", "Ground Truth": 0, "Split": null, "Dimension": null}