sentences listlengths 2 960 | source_url stringlengths 50 338 |
|---|---|
[
{
"speaker": "唐鳳",
"speech": "我們今天的協調會就跟我在院裡主持的一樣，就是會有兩份，一份是跟院處做成一般的會議紀錄，另外一個是會做逐字紀錄，逐字紀錄是大家都有10個工作天可以修改，不管是用化名，我們也有這樣的情況，或者是實質去修改自己發言的內容，只要上下文還算連貫一致，都可以的，所以不用擔心會被斷章取義等等，雖然我最近被斷章取義滿厲害的，但是應該不會有這樣的狀況。"
},
{
"speaker": "唐鳳",
"speech": "大家文來文往都看過了，其實文來文往的壞處是雙方的爭點沒有辦法對焦的情況，所以才特別請院處的朋友、財政部的朋友們一起來想一下我們... | https://sayit.pdis.nat.gov.tw/2010-01-01-%E6%B8%AC%E8%A9%A6%E5%BF%83%E6%99%BA%E5%9C%96 |
[
{
"speaker": "Rino Nugroho",
"speech": "Thank you for your time. My name is Rino Nugroho. I’m from Sebelas Maret University in Indonesia. Today, I have a research with my colleague, Professor Liao, from NSYSU and my colleague as well in UNS and assistant at NSYSU, Galan."
},
{
"speaker": "Rino Nugro... | https://sayit.pdis.nat.gov.tw/2010-12-08-rino-a-nugroho-dachi-liao-and-septyan-2 |
[
{
"speaker": "蔡政務委員",
"speech": "各位午安。今天針對政院所屬各機關政府資料分類及授權利用收費原則，進行討論。從 2012 年開始，政府就推動資料開放。去年起，行政院宣示「開放、不收費為原則，不開放、收費為例外。」因此，需要一個規範，讓原則和規範都有所依據。從五月開始，已經開了多次的會議，針對資料分類和收費原則做出草案。希望利用這個機會來討論。在多次討論之後，分為甲類「開放資料」，適用今天要討論的授權條款。乙類為有限度利用，而丙類是不開放。各機關在網路上，如果是適用和民間社群討論的開放資料，以最廣的利用為原則，幾乎等同於公共財了。這樣的授權是事後無法撤銷，轉授權也包含在內，是很廣... | https://sayit.pdis.nat.gov.tw/2015-07-22-%E8%B3%87%E6%96%99%E5%88%86%E9%A1%9E%E5%8F%8A%E6%8E%88%E6%AC%8A%E5%88%A9%E7%94%A8%E6%94%B6%E8%B2%BB%E5%8E%9F%E5%89%87%E6%9C%83%E8%AD%B0 |
[
{
"speaker": "柯華葳",
"speech": "各位課發會的委員、代表、同仁早安，我算了一下人數，只差兩票就可以達到開會人數。"
},
{
"speaker": "柯華葳",
"speech": "我們可以先介紹新委員。兩位業界的代表："
},
{
"speaker": "業務報告",
"speech": "確認第二屆第二、三次記錄及辦理情形。"
},
{
"speaker": "柯華葳",
"speech": "有些領綱可能會遲交，所以還有可能再增開課發會。"
},
{
"speaker": "提案討論",... | https://sayit.pdis.nat.gov.tw/2015-08-03-%E8%AA%B2%E7%99%BC%E6%9C%83%E7%AC%AC%E5%9B%9B%E7%AC%AC%E4%BA%94%E6%AC%A1%E6%9C%83%E8%AD%B0%E7%B4%80%E9%8C%84 |
[
{
"speaker": "柯華葳",
"speech": "目前有十九位委員到場，有兩位在路上，現在是否可以先開議？"
},
{
"speaker": "柯華葳",
"speech": "今天和昨天相同，就是逐一領域確認是否可以 8/18 上網。"
},
{
"speaker": "柯華葳",
"speech": "剛才是報告事項。現在有二十人了，會議正式開始。"
},
{
"speaker": "柯華葳",
"speech": "請陳思玎委員報告。"
},
{
"speaker": "陳思玎",
"speech... | https://sayit.pdis.nat.gov.tw/2015-08-04-%E8%AA%B2%E7%99%BC%E6%9C%83%E7%AC%AC%E5%85%AD%E7%AC%AC%E4%B8%83%E6%AC%A1%E6%9C%83%E8%AD%B0%E7%B4%80%E9%8C%84 |
[
{
"speaker": "柯華葳",
"speech": "大家午安，課發委員目前有十八位到場，有兩位委員在本院開會尚未結束，一定會到，徵詢各位是否可以開會？"
},
{
"speaker": "柯華葳",
"speech": null
},
{
"speaker": "柯華葳",
"speech": "課發會會議紀錄全部公開，接受全民提供意見。作為主席，我知道不能、也不可能擅自做結論，因為有你們的監督。"
},
{
"speaker": "張旭政",
"speech": "全國教師會記者會提出的黑箱問題：如果這是為了全體國民中小學的重... | https://sayit.pdis.nat.gov.tw/2015-08-19-%E8%AA%B2%E7%99%BC%E6%9C%83%E7%AC%AC%E5%85%AB%E6%AC%A1%E6%9C%83%E8%AD%B0%E7%B4%80%E9%8C%84 |
[{"speaker":"彭啟明","speech":"各位伙伴大家午安，大家好。我是這一場的主持人(...TRUNCATED) | https://sayit.pdis.nat.gov.tw/2015-08-23-%E6%BC%94%E8%AC%9B%E9%96%8B%E6%94%BE-%E8%B3%87%E6%96%99 |
[{"speaker":"唐鳳","speech":"大家好，今天的會議正式開始，首先說明麥克風使用(...TRUNCATED) | "https://sayit.pdis.nat.gov.tw/2015-08-27-uberx-%E8%87%AA%E7%94%A8%E8%BB%8A%E8%BC%89%E5%AE%A2%E6%84%(...TRUNCATED) |
[{"speaker":"唐鳳","speech":"大家好，很高興今天大家非常準時，所以我們就準時(...TRUNCATED) | "https://sayit.pdis.nat.gov.tw/2015-10-01-airbnb-%E8%87%AA%E7%94%A8%E4%BD%8F%E5%AE%85%E6%8B%9B%E7%A7(...TRUNCATED) |
[{"speaker":"柯華葳","speech":"大家好。"},{"speaker":"丁志仁","speech":"其他三科的草(...TRUNCATED) | "https://sayit.pdis.nat.gov.tw/2015-10-05-%E8%AA%B2%E7%99%BC%E6%9C%83%E7%AC%AC%E4%B9%9D%E6%AC%A1%E6%(...TRUNCATED) |
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, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, 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-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, 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, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Chinese Speech Corpus
This dataset has been sourced from SayIt, a specialized website focused on preserving transcripts and meeting notes. Presently, it encompasses a compilation of 1739 dialogues, encompassing approximately 340,000 sentences along with their respective speakers.
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