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EN_B00000_S02573_W000015
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 5.229,
"id": "EN_B00000_S02573_W000015",
"language": "en",
"speaker": "EN_B00000_S02573",
"text": " Uh, Fitzroy North. Really? So same location? Okay.",
"wav": "EN_B00000/EN_B00000_S02573/mp3/EN_B00000_S02573_W000015.mp3"
}
|
EN_B00000_S02573_W000015.mp3
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EN_B00000_S02573_W000016
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
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"text": " And then walk around, um, meet up with a group of friends, probably 10 of us go out for lunch and drink beers. And then we will go back to our hotels.",
"wav": "EN_B00000/EN_B00000_S02573/mp3/EN_B00000_S02573_W000016.mp3"
}
|
EN_B00000_S02573_W000016.mp3
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EN_B00000_S02573_W000017
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2589,
"duration": 17.195,
"id": "EN_B00000_S02573_W000017",
"language": "en",
"speaker": "EN_B00000_S02573",
"text": " And I'll be living there, so we'll go back to my house. Uh, and then we will have some more food, play some games and then we'll all go out for dinner and then go to a gig after and then come home.",
"wav": "EN_B00000/EN_B00000_S02573/mp3/EN_B00000_S02573_W000017.mp3"
}
|
EN_B00000_S02573_W000017.mp3
|
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EN_B00000_S02573_W000018
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1949,
"duration": 6.061,
"id": "EN_B00000_S02573_W000018",
"language": "en",
"speaker": "EN_B00000_S02573",
"text": " Drinking every day at mid-day. Can't have your perfect day every day. I'm saying this is, this is, this is a one-off.",
"wav": "EN_B00000/EN_B00000_S02573/mp3/EN_B00000_S02573_W000018.mp3"
}
|
EN_B00000_S02573_W000018.mp3
|
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EN_B00000_S02573_W000019
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2157,
"duration": 17.589,
"id": "EN_B00000_S02573_W000019",
"language": "en",
"speaker": "EN_B00000_S02573",
"text": " It's two, it's two shots with a little bit of, uh, foam on top. And I'm assuming she wants a bit of hot milk or hot water. That's where you need to be clarified. You need to clarify that bit. Topped up with water.",
"wav": "EN_B00000/EN_B00000_S02573/mp3/EN_B00000_S02573_W000019.mp3"
}
|
EN_B00000_S02573_W000019.mp3
|
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EN_B00000_S02573_W000020
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0471,
"duration": 15.195,
"id": "EN_B00000_S02573_W000020",
"language": "en",
"speaker": "EN_B00000_S02573",
"text": " She actually commented on the chat, said front room. Front room? How big is front room, Georgie Boyle? Front rooms, yea, it's about the size of, uh, this office, I reckon. No, not really. About the size of the, the, this bit. The studio. The table is the studio.",
"wav": "EN_B00000/EN_B00000_S02573/mp3/EN_B00000_S02573_W000020.mp3"
}
|
EN_B00000_S02573_W000020.mp3
|
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EN_B00000_S02573_W000021
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0665,
"duration": 5.636,
"id": "EN_B00000_S02573_W000021",
"language": "en",
"speaker": "EN_B00000_S02573",
"text": " Yeah, if people are actually only watching this and not listening to the show, then...",
"wav": "EN_B00000/EN_B00000_S02573/mp3/EN_B00000_S02573_W000021.mp3"
}
|
EN_B00000_S02573_W000021.mp3
|
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EN_B00000_S02583_W000000
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"id": "EN_B00000_S02583_W000000",
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"speaker": "EN_B00000_S02583",
"text": " I did call you at about three saying, let's just do it tomorrow. Cause you know, I might, I don't think I've got time. Yeah. And then about five to four, you're like, we can do this. Well, I just felt like you.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000000.mp3"
}
|
EN_B00000_S02583_W000000.mp3
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EN_B00000_S02583_W000001
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0695,
"duration": 7.08,
"id": "EN_B00000_S02583_W000001",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " No, I don't think so. I don't think I know anyone. I feel like Australia's done pretty well at a flattening curve.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000001.mp3"
}
|
EN_B00000_S02583_W000001.mp3
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EN_B00000_S02583_W000002
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1629,
"duration": 11.698,
"id": "EN_B00000_S02583_W000002",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " No, it's annoying, I get it. No, what don't you like about things at all? Just her voice is a bit weird. She's, I don't know, she's just not my style, Josh.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000002.mp3"
}
|
EN_B00000_S02583_W000002.mp3
|
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EN_B00000_S02583_W000003
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2605,
"duration": 8.54,
"id": "EN_B00000_S02583_W000003",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Why did you paste in the- Cause that one just got released like that day and I thought it was cool. You know? Okay. That was my song of the week. George, it was a newie.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000003.mp3"
}
|
EN_B00000_S02583_W000003.mp3
|
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EN_B00000_S02583_W000004
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 4.22,
"id": "EN_B00000_S02583_W000004",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Gotta give it to her, she's done, you know, she's gotten there from being a busker.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000004.mp3"
}
|
EN_B00000_S02583_W000004.mp3
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EN_B00000_S02583_W000005
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"id": "EN_B00000_S02583_W000005",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " So you must be doing something right. But from a bit of advice, uhm, just sing a bit more normal. Change your voice. Change your voice a bit.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000005.mp3"
}
|
EN_B00000_S02583_W000005.mp3
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EN_B00000_S02583_W000006
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0679,
"duration": 10.289,
"id": "EN_B00000_S02583_W000006",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Uh, well, I mean, she was overplayed big time. So maybe that has something to do with it. On every single station and every single TV show.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000006.mp3"
}
|
EN_B00000_S02583_W000006.mp3
|
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EN_B00000_S02583_W000007
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1695,
"duration": 5.62,
"id": "EN_B00000_S02583_W000007",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Well, now you asked me if I liked her and I said can't stand her. That's it.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000007.mp3"
}
|
EN_B00000_S02583_W000007.mp3
|
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EN_B00000_S02583_W000008
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Uhm, I have to think about that one. Don't know, can't think of the top of my head.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000008.mp3"
}
|
EN_B00000_S02583_W000008.mp3
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EN_B00000_S02583_W000009
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 3.667,
"id": "EN_B00000_S02583_W000009",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Alright, Tom. Oprah? Yeah, powerful woman.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000009.mp3"
}
|
EN_B00000_S02583_W000009.mp3
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EN_B00000_S02583_W000010
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"id": "EN_B00000_S02583_W000010",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Who's the- You're more of a Dr. Oz guy. I love Oprah. I love Oprah. Uhm, there's an actor I can't think of his name, but that would be a controversial one. I reckon you guys wouldn't agree with me on that one.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000010.mp3"
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|
EN_B00000_S02583_W000010.mp3
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EN_B00000_S02583_W000011
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1545,
"duration": 3.26,
"id": "EN_B00000_S02583_W000011",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Oh yeaah. I love Amishima. I think she's great.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000011.mp3"
}
|
EN_B00000_S02583_W000011.mp3
|
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EN_B00000_S02583_W000012
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1605,
"duration": 4.007,
"id": "EN_B00000_S02583_W000012",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Yeah, I love Melissa McCarthy. See, I love most people, guys.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000012.mp3"
}
|
EN_B00000_S02583_W000012.mp3
|
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EN_B00000_S02583_W000013
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1696,
"duration": 5.739,
"id": "EN_B00000_S02583_W000013",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " And I don't not like Mark Ruffalo. I just think- Did you say that Ruffalo guy I don't like?",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000013.mp3"
}
|
EN_B00000_S02583_W000013.mp3
|
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EN_B00000_S02583_W000014
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3015,
"duration": 4.091,
"id": "EN_B00000_S02583_W000014",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Oh hang on, okay, Matt Damon. Love Tom Hanks. Love Tom, love Matt Damon.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000014.mp3"
}
|
EN_B00000_S02583_W000014.mp3
|
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EN_B00000_S02583_W000015
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0482,
"duration": 7.674,
"id": "EN_B00000_S02583_W000015",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " I haven't seen it. I don't really like that sort of actiony sci-fi kind of stuff.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000015.mp3"
}
|
EN_B00000_S02583_W000015.mp3
|
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EN_B00000_S02583_W000016
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2519,
"duration": 5.654,
"id": "EN_B00000_S02583_W000016",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Oh, actually, they go into that, um, dome thing.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000016.mp3"
}
|
EN_B00000_S02583_W000016.mp3
|
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EN_B00000_S02583_W000017
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2607,
"duration": 3.396,
"id": "EN_B00000_S02583_W000017",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " I think, uh, maybe you guys are the full package.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000017.mp3"
}
|
EN_B00000_S02583_W000017.mp3
|
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EN_B00000_S02583_W000018
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3897,
"duration": 13.497,
"id": "EN_B00000_S02583_W000018",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Oliver said, just got surprised by the close up of Josh's face and didn't want to discount Tommy. That's all. And then about a second later he said, okay, I've made my mind up. Which I'm assuming was from your smiley tongue face, Josh. So is that good, do you think?",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000018.mp3"
}
|
EN_B00000_S02583_W000018.mp3
|
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EN_B00000_S02583_W000019
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2106,
"duration": 8.234,
"id": "EN_B00000_S02583_W000019",
"language": "en",
"speaker": "EN_B00000_S02583",
"text": " Was that good? I think he likes you. Yea. Still no mention of me, that's fine. It's your lining. Give us, give us, give us the tongue Josh.",
"wav": "EN_B00000/EN_B00000_S02583/mp3/EN_B00000_S02583_W000019.mp3"
}
|
EN_B00000_S02583_W000019.mp3
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EN_B00000_S02593_W000000
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1469,
"duration": 9.626,
"id": "EN_B00000_S02593_W000000",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " YouTube, this is, uh, the, um, VIP grunks. They, all they had to do is go to the dailytalkshow.com forward slash grunks. It's quite an easy process actually.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000000.mp3"
}
|
EN_B00000_S02593_W000000.mp3
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EN_B00000_S02593_W000001
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"id": "EN_B00000_S02593_W000001",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Yeah, I appreciate if they actually, um, fill out all their details. I had someone that, uh, put in just their city name. I'm thinking about, um, deleting them from the gronks because I want full addresses, please. So we can send you stuff. Okay, here we go. Okay, TJ.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000001.mp3"
}
|
EN_B00000_S02593_W000001.mp3
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EN_B00000_S02593_W000002
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 3.803,
"id": "EN_B00000_S02593_W000002",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " It's The Daily Talk Show, episode 600.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000002.mp3"
}
|
EN_B00000_S02593_W000002.mp3
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EN_B00000_S02593_W000003
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.096,
"duration": 16.163,
"id": "EN_B00000_S02593_W000003",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " I was too pissed. To be honest, if I had been sober, I would have gotten the hint that you're sending me one. I was meant to, the joke would have been to send it back. I wasn't sort of in a position to understand that. I thought that I didn't understand how the pizza got there. So I couldn't return the favor.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000003.mp3"
}
|
EN_B00000_S02593_W000003.mp3
|
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EN_B00000_S02593_W000004
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1121,
"duration": 11.953,
"id": "EN_B00000_S02593_W000004",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Well, what I've heard, what Kim has said on the interviews is that Sarah Jessica Parker just ignores her until they've got sort of the next...",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000004.mp3"
}
|
EN_B00000_S02593_W000004.mp3
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EN_B00000_S02593_W000005
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1462,
"duration": 5.823,
"id": "EN_B00000_S02593_W000005",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " No everyone, I feel like that's the cliche. You get the good photos at the, um, at the shop, you know.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000005.mp3"
}
|
EN_B00000_S02593_W000005.mp3
|
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EN_B00000_S02593_W000006
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2973,
"duration": 15.068,
"id": "EN_B00000_S02593_W000006",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Was a stitch up because Brooke, uh, asked, she wanted to finish the game cause she had a uni assignment to finish. And so we wanted to beat Jake. I don't know if Jake's in the room right now, but, um, we want, we want, I know it was a nightmare. We wanted to conquer.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000006.mp3"
}
|
EN_B00000_S02593_W000006.mp3
|
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3713,
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1993,
3183,
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2016,
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3499,
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2242,
1084,
722,
2950,
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59,
2847,
888,
580,
1815,
635,
2745,
413,
1980,
3,
3849,
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2736,
187,
3425,
1630,
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3035,
3940,
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3799,
3216,
1207,
3680,
2789,
963,
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2277,
3771,
562,
656,
345,
3105,
2004,
245,
1959,
2418,
529,
97,
574,
2643,
3413,
2544,
2222,
15,
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1200,
1816,
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3107,
365,
3847,
1752,
1140,
3461,
1818,
3783,
508,
2626,
291,
3006,
2243,
1980,
3027,
3011,
628,
2759,
806,
52,
3526,
2872,
3696,
649,
3,
1892,
3101,
1101,
3325,
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1721,
2238,
3721,
3287,
2880,
1060,
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2603,
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4047,
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2508,
4031,
2557,
3746,
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2557,
2087,
477,
3550,
2662,
918,
2910,
997,
120,
4006,
1696,
2310,
2072,
705,
1491,
3008,
449,
1143,
2000,
2428,
2852,
185,
1176,
3736,
3687,
2239,
262,
2050,
2565,
2040,
1908,
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2823,
4018,
3977,
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3422,
3422,
3422,
3422,
3422,
1568,
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EN_B00000_S02593_W000007
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2151,
"duration": 11.379,
"id": "EN_B00000_S02593_W000007",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Uh, Jake. But uhm, oh no, I just wanted to get your sense of, of Monopoly. Like, do you think that it is something that you'd play again? Did it go too long? What sort of, if you were to give it a review, what would you say?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000007.mp3"
}
|
EN_B00000_S02593_W000007.mp3
|
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2005,
2349,
3589,
3766,
2072,
2423,
2517,
2561,
4062,
1885,
4059,
4058,
3147,
3071,
4052,
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116,
855,
2427,
2033,
1277,
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2960,
647,
2019,
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3538,
2055,
234,
218,
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3907,
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3155,
3234,
1452,
3626,
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1620,
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196,
3894,
1119,
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2006,
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3813,
1614,
3907,
318,
2185,
3186,
1452,
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1208,
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1206,
1655,
2509,
2369,
1328,
332,
1452,
756,
935,
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3297,
1963,
426,
244,
3488,
1206,
338,
1919,
1306,
546,
197,
2634,
3526,
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3147,
3147,
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331,
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229,
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234,
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1117,
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1406,
1406,
871,
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234,
935,
2205,
602,
2068,
2068,
2068,
2068,
2068,
2068,
2068,
2068,
2068,
3981
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230,
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307,
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2720,
3086,
614,
1737,
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55,
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486,
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318,
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110,
3966,
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3356,
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696,
3679,
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3930,
549,
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2010,
3484,
3444,
873,
3013,
3576,
1528,
763,
496,
3501,
3281,
1716,
3743,
694,
1267,
233,
2767,
2278,
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1949,
763,
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257,
2361,
3263,
2117,
2164,
1809,
3035,
3220,
3973,
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1750,
2370,
600,
4044,
1105,
679,
3903,
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2246,
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3432,
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3056,
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322,
3625,
3842,
3743,
121,
3011,
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23,
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325,
1185,
2934,
1871,
3240,
1083,
610,
350,
3337,
3210,
1596,
1715,
2202,
892,
1549,
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1023,
3721,
3386,
3906,
2512,
1107,
1947,
1572,
2819,
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3641,
420,
31,
465,
4064,
1779,
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1409,
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963,
2449,
2934,
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288,
3664,
429,
3501,
595,
3945,
3002,
1974,
543,
756,
1706,
186,
360,
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2687,
915,
740,
2463,
529,
808,
1417,
2692,
3713,
1038,
1110,
3282,
1032,
1110,
3723,
2609,
3522,
3717,
2003,
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2807,
296,
2893,
654,
477,
2484,
2405,
3498,
1889,
675,
2960,
870,
3809,
3071,
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3988,
2339,
2483,
3857,
3844,
281,
3875,
1884,
3014,
2692,
1803,
1462,
2077,
1380,
1726,
842,
3022,
3250,
1736,
1736,
1736,
1736,
1736,
1736,
1736,
1736,
1736,
1736,
1736,
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EN_B00000_S02593_W000008
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0964,
"duration": 11.545,
"id": "EN_B00000_S02593_W000008",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " So it's uhm, three seconds, one, two, three for Prosecco, then one, two for Aperol, and then one for Soda.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000008.mp3"
}
|
EN_B00000_S02593_W000008.mp3
|
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EN_B00000_S02593_W000009
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.001,
"duration": 12.284,
"id": "EN_B00000_S02593_W000009",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " The, how do I, uhm, it's, it's the, it's the humble brag, isn't it? It's the, I got a love letter. Nah, nah, nah, nah, nah. I wanna share it, but I don't wanna look like a, a wanker. And so you sort of frame it around.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000009.mp3"
}
|
EN_B00000_S02593_W000009.mp3
|
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EN_B00000_S02593_W000010
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.238,
"duration": 20.625,
"id": "EN_B00000_S02593_W000010",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Um, you know, being funny was going away with it. So he sent me this love, like wrote this nice message. I said, which was true. I said, Brianna Phillips use my new pen to write this and I'm pissed off. Don't use my stuff. Yeah. Um, Karen wrote to that and said, dot, dot, dot. It's a pen.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000010.mp3"
}
|
EN_B00000_S02593_W000010.mp3
|
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EN_B00000_S02593_W000011
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0483,
"duration": 12.784,
"id": "EN_B00000_S02593_W000011",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " No, no, no. You appreciate it from me too. Everything Tommy says I say as well. Uh, Lara, uh, has been working on getting her espresso shots dialed in for the espresso martinis. Lara, how did you go?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000011.mp3"
}
|
EN_B00000_S02593_W000011.mp3
|
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EN_B00000_S02593_W000012
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0521,
"duration": 4.465,
"id": "EN_B00000_S02593_W000012",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Here we go. This is a uhm, where is it from TJ? Where did you go to get this?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000012.mp3"
}
|
EN_B00000_S02593_W000012.mp3
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EN_B00000_S02593_W000013
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1092,
"duration": 11.036,
"id": "EN_B00000_S02593_W000013",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " The point is it was just the size of the cup, wasn't it? But you got on the project, which is like a Australian sort of, um, what do you call it? Like a current affair program.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000013.mp3"
}
|
EN_B00000_S02593_W000013.mp3
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EN_B00000_S02593_W000014
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1673,
"duration": 7.42,
"id": "EN_B00000_S02593_W000014",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " I wanted to call out Mike, uh, Miller, Mike. So, uh, I met Mike in 2012.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000014.mp3"
}
|
EN_B00000_S02593_W000014.mp3
|
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EN_B00000_S02593_W000015
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 14.128,
"id": "EN_B00000_S02593_W000015",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " He was my Airbnb host. Oh wow. At the time he worked for Pixar and it was in San Francisco and he took, he allowed me to go to Oakland and you gave me a tour. Do you remember that Mike?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000015.mp3"
}
|
EN_B00000_S02593_W000015.mp3
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EN_B00000_S02593_W000016
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 3.772,
"id": "EN_B00000_S02593_W000016",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " I thought that it was, cause is, is that what's in Jaeger? Jaeger bombs or no?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000016.mp3"
}
|
EN_B00000_S02593_W000016.mp3
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EN_B00000_S02593_W000017
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
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"id": "EN_B00000_S02593_W000017",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " I don't know. Sorry, sorry. Sorry. Back to Pixar. No, I just remember, Mike, do you remember the, uh, I got whatever you had at the, um, basically for lunch, you, uh, you get sort of at the time you, um, when you worked at Pixar, you had, uh,",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000017.mp3"
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|
EN_B00000_S02593_W000017.mp3
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EN_B00000_S02593_W000018
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"id": "EN_B00000_S02593_W000018",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Uh, you would get lunch, what's it called, when you sort of get a lower rate, it was sort of a good deal.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000018.mp3"
}
|
EN_B00000_S02593_W000018.mp3
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EN_B00000_S02593_W000019
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Do you remember the burger hack that you told me to get?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000019.mp3"
}
|
EN_B00000_S02593_W000019.mp3
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EN_B00000_S02593_W000020
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1504,
"duration": 3.124,
"id": "EN_B00000_S02593_W000020",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Remember what you add on a burger to make it delicious?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000020.mp3"
}
|
EN_B00000_S02593_W000020.mp3
|
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EN_B00000_S02593_W000021
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2614,
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"id": "EN_B00000_S02593_W000021",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " It was like the bet, like I had the best time. You showed me around. We had like blue cheeseburgers. TJ, your mic is muted if that's uhm, you're talking as if you're really having conversation. I was joking.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000021.mp3"
}
|
EN_B00000_S02593_W000021.mp3
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EN_B00000_S02593_W000022
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.383,
"duration": 11.07,
"id": "EN_B00000_S02593_W000022",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " So what can you tell us? So the Utah is known for like Mormonism and stuff like that. Were you ever sort of involved in all of that or what is it? What is it like living in Utah?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000022.mp3"
}
|
EN_B00000_S02593_W000022.mp3
|
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EN_B00000_S02593_W000023
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1907,
"duration": 15.671,
"id": "EN_B00000_S02593_W000023",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Yeah, yeah, it's interesting. Like the, um, yeah, I saw a great docker one, like the, uh, there was a great one. I like, uh, prescription medication because they can't do booze and things like that. They end up, um, yeah, they pop up.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000023.mp3"
}
|
EN_B00000_S02593_W000023.mp3
|
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EN_B00000_S02593_W000024
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0027,
"duration": 6.774,
"id": "EN_B00000_S02593_W000024",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " I don't know. Are there great walks where you are? Cause like when I've been to Utah, there's like amazing, um, tracks and stuff like that.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000024.mp3"
}
|
EN_B00000_S02593_W000024.mp3
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EN_B00000_S02593_W000025
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"id": "EN_B00000_S02593_W000025",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Well, we, uh, Mike's building a new tech company and so it's, it's got a podcasting related to it. So I was like, mate, I'm happy to, um,",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000025.mp3"
}
|
EN_B00000_S02593_W000025.mp3
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EN_B00000_S02593_W000026
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 7.637,
"id": "EN_B00000_S02593_W000026",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Uh, Mike is a host. I remember we, it was in February because it was, um, Macworld was on and it was right when.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000026.mp3"
}
|
EN_B00000_S02593_W000026.mp3
|
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EN_B00000_S02593_W000027
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 18.268,
"id": "EN_B00000_S02593_W000027",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " And then I remember that we had a musical night at your place and you had all your friends around. It was amazing. But I, I remember I was just so blown away because it was like this whole other world, like the whole tech industry and San Francisco. And I remember, uh, Pixar had their own bus.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000027.mp3"
}
|
EN_B00000_S02593_W000027.mp3
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EN_B00000_S02593_W000028
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"language": "en",
"speaker": "EN_B00000_S02593",
"text": " And so like when I got to Oakland, I would go on the Pixar bus and I arrived there. I mean, it has San Francisco. Oh my God. Hang on, hang on, hang on.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000028.mp3"
}
|
EN_B00000_S02593_W000028.mp3
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EN_B00000_S02593_W000029
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"language": "en",
"speaker": "EN_B00000_S02593",
"text": " An owl? Do you like owls? They're nocturnal. Do you stay? I remember uhm.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000029.mp3"
}
|
EN_B00000_S02593_W000029.mp3
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EN_B00000_S02593_W000030
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0908,
"duration": 8.082,
"id": "EN_B00000_S02593_W000030",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Really? That's impressive. You even got, I remember just after I left, you got into the Soylent. Can you explain what Soylent means?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000030.mp3"
}
|
EN_B00000_S02593_W000030.mp3
|
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EN_B00000_S02593_W000031
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0418,
"duration": 4.924,
"id": "EN_B00000_S02593_W000031",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " So what, do you know what are the main, what's like the base, do you know?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000031.mp3"
}
|
EN_B00000_S02593_W000031.mp3
|
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EN_B00000_S02593_W000032
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0476,
"duration": 10.611,
"id": "EN_B00000_S02593_W000032",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Yeah, I mean, it's so crazy the rent there. Um, but yeah, there is something I guess, uh, uh, energetic about being in the, that type of city.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000032.mp3"
}
|
EN_B00000_S02593_W000032.mp3
|
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EN_B00000_S02593_W000033
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0816,
"duration": 7.708,
"id": "EN_B00000_S02593_W000033",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Isn't it funny how, like I know that TJ, one of your, the things you hate the most is when people talk about how pissed they are while they're pissed.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000033.mp3"
}
|
EN_B00000_S02593_W000033.mp3
|
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EN_B00000_S02593_W000034
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0998,
"duration": 12.054,
"id": "EN_B00000_S02593_W000034",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " On the straw thing, the size of the straw reminded me I used a metal straw at home the other day. Really? I know that straws are obviously bad for the environment, but metal straws hurt my teeth.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000034.mp3"
}
|
EN_B00000_S02593_W000034.mp3
|
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EN_B00000_S02593_W000035
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2351,
"duration": 5.858,
"id": "EN_B00000_S02593_W000035",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Really? So George, so the whole black pearl thing, you're a trendy guy, so you go to black pearl?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000035.mp3"
}
|
EN_B00000_S02593_W000035.mp3
|
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EN_B00000_S02593_W000036
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0399,
"duration": 11.019,
"id": "EN_B00000_S02593_W000036",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " I know what to call out Rachel. Rachel, uh, you're on the WhatsApp. This is your first ever time on the Friday night drinks. Does it hold up?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000036.mp3"
}
|
EN_B00000_S02593_W000036.mp3
|
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EN_B00000_S02593_W000037
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"duration": 6.843,
"id": "EN_B00000_S02593_W000037",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Zach's on the other page. I've got Zach on WhatsApp. Obviously Zach and I have been chatting on the...",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000037.mp3"
}
|
EN_B00000_S02593_W000037.mp3
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EN_B00000_S02593_W000038
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"id": "EN_B00000_S02593_W000038",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Michael Ades, what's happening, mate? Tell us something weird.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000038.mp3"
}
|
EN_B00000_S02593_W000038.mp3
|
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EN_B00000_S02593_W000039
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2505,
"duration": 4.957,
"id": "EN_B00000_S02593_W000039",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " What's your favorite, like if you were to suggest one thing that everyone could make?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000039.mp3"
}
|
EN_B00000_S02593_W000039.mp3
|
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EN_B00000_S02593_W000040
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2062,
"duration": 12.802,
"id": "EN_B00000_S02593_W000040",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Nachos are fucking great, aren't they? Yeah, nachos great. And the amount of, like nachos was, yeah, like when mum, it's funny that mum would say I'm making nachos. Like it's not, it's, making is a stretch, isn't it? It's, you got you to- Oh yeah.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000040.mp3"
}
|
EN_B00000_S02593_W000040.mp3
|
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EN_B00000_S02593_W000041
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0098,
"duration": 5.348,
"id": "EN_B00000_S02593_W000041",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Yeah. Are you, like, is there, um, like, what's open? What, like, what can you get delivered?",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000041.mp3"
}
|
EN_B00000_S02593_W000041.mp3
|
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EN_B00000_S02593_W000042
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
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"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Well, we better go so James doesn't piss his pants. We're doing kick-ons now. Thank you everyone in the, uh, the YouTube chat. I'm going to call out some people in the YouTube chat. Sean, thank you for joining us. Casey, thank you. Karen.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000042.mp3"
}
|
EN_B00000_S02593_W000042.mp3
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EN_B00000_S02593_W000043
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.115,
"duration": 9.372,
"id": "EN_B00000_S02593_W000043",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Uh, she's just written Mr. Big. Kaz, Mr. Big. Kaz, this is George, this is your mum. She's just written- What does that mean? I don't know. I'm guessing she was referring to which-",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000043.mp3"
}
|
EN_B00000_S02593_W000043.mp3
|
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EN_B00000_S02593_W000044
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2178,
"duration": 11.868,
"id": "EN_B00000_S02593_W000044",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " Oh yea, maybe that's what it is. Emma says couldn't make the drinks, but watching live, Emma actually painted her toilet, uh, like the, um, Job Keeper form. Gracie.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000044.mp3"
}
|
EN_B00000_S02593_W000044.mp3
|
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EN_B00000_S02593_W000045
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3016,
"duration": 11.715,
"id": "EN_B00000_S02593_W000045",
"language": "en",
"speaker": "EN_B00000_S02593",
"text": " No, she, um, now Emma painted, uh, the wall of her toilet. It's amazing what a bit of paint can do to a room. It looks amazing. It's sort of a bit of a pink palette. It looks really great.",
"wav": "EN_B00000/EN_B00000_S02593/mp3/EN_B00000_S02593_W000045.mp3"
}
|
EN_B00000_S02593_W000045.mp3
|
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EN_B00000_S02603_W000000
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.4332,
"duration": 7.521,
"id": "EN_B00000_S02603_W000000",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " In the previous session, we talked about using statistical approaches to assessing heterogeneity.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000000.mp3"
}
|
EN_B00000_S02603_W000000.mp3
|
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EN_B00000_S02603_W000001
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3004,
"duration": 6.571,
"id": "EN_B00000_S02603_W000001",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " So we had an example where there was evidence of a great deal of heterogeneity.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000001.mp3"
}
|
EN_B00000_S02603_W000001.mp3
|
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EN_B00000_S02603_W000002
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2978,
"duration": 7.097,
"id": "EN_B00000_S02603_W000002",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " This is the example we had using some of the data from the brucellosis project. And recall that we had",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000002.mp3"
}
|
EN_B00000_S02603_W000002.mp3
|
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EN_B00000_S02603_W000003
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3393,
"duration": 6.876,
"id": "EN_B00000_S02603_W000003",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " These measures of heterogeneity, so there's a chi-squared test here. We're going to compare this chi-squared test statistic",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000003.mp3"
}
|
EN_B00000_S02603_W000003.mp3
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EN_B00000_S02603_W000004
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2936,
"duration": 9.276,
"id": "EN_B00000_S02603_W000004",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " Uh, with 15 degrees of freedom and we obtain a p-value for that. And this p-value suggested we could reject the null hypothesis.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000004.mp3"
}
|
EN_B00000_S02603_W000004.mp3
|
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EN_B00000_S02603_W000005
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.4542,
"duration": 11.525,
"id": "EN_B00000_S02603_W000005",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And therefore we'd have to clue that there was heterogeneity because the null hypothesis is that there is not heterogeneity. And then we also had this other measure which is the I squared.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000005.mp3"
}
|
EN_B00000_S02603_W000005.mp3
|
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EN_B00000_S02603_W000006
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.4516,
"duration": 8.506,
"id": "EN_B00000_S02603_W000006",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And I haven't told you what the I squared is, but it is a measure of heterogeneity and it's expressed as a proportion and, and when the heterogeneity",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000006.mp3"
}
|
EN_B00000_S02603_W000006.mp3
|
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EN_B00000_S02603_W000007
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2198,
"duration": 6.723,
"id": "EN_B00000_S02603_W000007",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " Uhm, we consider there to be substantial evidence of heterogeneity, which means that we can't calculate a slummery effect.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000007.mp3"
}
|
EN_B00000_S02603_W000007.mp3
|
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EN_B00000_S02603_W000008
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2867,
"duration": 17.996,
"id": "EN_B00000_S02603_W000008",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " Now I'm going to show you an example where there isn't evidence of heterogeneity and we can calculate a summary effect. This is a different data set and it relates to a publication that we already have where we're looking at a vaccine for tritrichomonas.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000008.mp3"
}
|
EN_B00000_S02603_W000008.mp3
|
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EN_B00000_S02603_W000009
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3144,
"duration": 5.976,
"id": "EN_B00000_S02603_W000009",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " What I have is the same arrangement I had before. This is the interface that we were looking at before.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000009.mp3"
}
|
EN_B00000_S02603_W000009.mp3
|
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EN_B00000_S02603_W000010
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2096,
"duration": 8.184,
"id": "EN_B00000_S02603_W000010",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And the yeaah, and I'll eventually show you how you can do this. This time I've got animals that are vaccinated.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000010.mp3"
}
|
EN_B00000_S02603_W000010.mp3
|
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EN_B00000_S02603_W000011
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.4594,
"duration": 3.531,
"id": "EN_B00000_S02603_W000011",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " So I have several rows of data and then I have",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000011.mp3"
}
|
EN_B00000_S02603_W000011.mp3
|
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EN_B00000_S02603_W000012
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3138,
"duration": 15.67,
"id": "EN_B00000_S02603_W000012",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " Uh, risk ratio and for each study. Now because this is a vaccine, I am truly expecting that the effect would be protective. So it would protect against the event.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000012.mp3"
}
|
EN_B00000_S02603_W000012.mp3
|
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EN_B00000_S02603_W000013
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2472,
"duration": 17.165,
"id": "EN_B00000_S02603_W000013",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And so you can see these are the data that I'm looking at. Now in this example, we can do the same thing as we did before and we can ask ourselves, is there evidence of heterogeneity?",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000013.mp3"
}
|
EN_B00000_S02603_W000013.mp3
|
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EN_B00000_S02603_W000014
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3619,
"duration": 7.453,
"id": "EN_B00000_S02603_W000014",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And so again I have the chi squared and here's the number for the chi squared test statistic. Here's the degrees of freedom of that.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000014.mp3"
}
|
EN_B00000_S02603_W000014.mp3
|
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EN_B00000_S02603_W000015
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.1906,
"duration": 5.823,
"id": "EN_B00000_S02603_W000015",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And here's the p-value, and the p-value is 0.19, which suggests that there's not",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000015.mp3"
}
|
EN_B00000_S02603_W000015.mp3
|
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EN_B00000_S02603_W000016
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2317,
"duration": 3.786,
"id": "EN_B00000_S02603_W000016",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " An enormous amount of evidence to reject the null hypothesis.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000016.mp3"
}
|
EN_B00000_S02603_W000016.mp3
|
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EN_B00000_S02603_W000017
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3943,
"duration": 7.59,
"id": "EN_B00000_S02603_W000017",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " So we might conclude that there is not enough evidence to reject the idea that there's homogeneity.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000017.mp3"
}
|
EN_B00000_S02603_W000017.mp3
|
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EN_B00000_S02603_W000018
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2419,
"duration": 11.664,
"id": "EN_B00000_S02603_W000018",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And then we have the i squared and this time it's 26 which is quite low and so 26 might suggest that there's not much evidence of heterogeneity.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000018.mp3"
}
|
EN_B00000_S02603_W000018.mp3
|
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EN_B00000_S02603_W000019
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2287,
"duration": 9.915,
"id": "EN_B00000_S02603_W000019",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " Is the proportion of the total dispersion and by dispersion I mean how much these points are dispersed.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000019.mp3"
}
|
EN_B00000_S02603_W000019.mp3
|
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EN_B00000_S02603_W000020
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.0538,
"duration": 6.248,
"id": "EN_B00000_S02603_W000020",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " That's considered excessive compared to what we would have seen just by random chance.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000020.mp3"
}
|
EN_B00000_S02603_W000020.mp3
|
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EN_B00000_S02603_W000021
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.4483,
"duration": 9.626,
"id": "EN_B00000_S02603_W000021",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " I can get that slide up again. And the interpretation of I squared is not an absolute cutoff, it's a general guide. So you can see that",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000021.mp3"
}
|
EN_B00000_S02603_W000021.mp3
|
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464,
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EN_B00000_S02603_W000022
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3282,
"duration": 4.669,
"id": "EN_B00000_S02603_W000022",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " Values between 0 and 40% are generally considered unimportant.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000022.mp3"
}
|
EN_B00000_S02603_W000022.mp3
|
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3422,
3422,
3422,
3422,
3422,
1568,
1532,
3602,
1855
] |
EN_B00000_S02603_W000023
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3986,
"duration": 18.506,
"id": "EN_B00000_S02603_W000023",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " But values from 30 to 60 may suggest moderate heterogeneity. So see that there's actually overlap here? So this makes i squared a little bit hard to interpret and so we often interpret it combined with p- with the p-value for the chi-squared test.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000023.mp3"
}
|
EN_B00000_S02603_W000023.mp3
|
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EN_B00000_S02603_W000024
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3952,
"duration": 18.506,
"id": "EN_B00000_S02603_W000024",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And see from 50 to 90 is thought to be substantial heterogeneity and 75 to 100 is thought to be considerable. Now I know people would like an absolute cutoff and the reality is that no absolute cutoff exists for i-squares. They just give you a general guide.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000024.mp3"
}
|
EN_B00000_S02603_W000024.mp3
|
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EN_B00000_S02603_W000025
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.3845,
"duration": 19.338,
"id": "EN_B00000_S02603_W000025",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " But in my example here, I really have no evidence that I should reject the null hypothesis, which says it looks like each of these studies is roughly estimating the same thing, which means that we should be able to calculate a summary effect.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000025.mp3"
}
|
EN_B00000_S02603_W000025.mp3
|
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538,
3820,
3259,
1111,
3331,
3978,
208,
1899,
1408,
3450,
488,
3414,
1189,
3251,
2624,
809,
1360,
1810,
2279,
980,
518,
3958,
186,
1689,
228,
3388,
4040,
3623,
822,
3099,
318,
946,
2016,
2217,
1028,
2510,
1127,
2717,
2396,
593,
1824,
2470,
2982,
4047,
3309,
315,
1970,
1863,
1757,
2,
1719,
393,
1933,
2846,
66,
3523,
263,
556,
3204,
263,
815,
2858,
1490,
1033,
3822,
4022,
1819,
2351,
2347,
2908,
331,
2561,
988,
3479,
577,
974,
3668,
3612,
1547,
299,
1547,
3880,
949,
2776,
1470,
969,
2131,
2354,
106,
2434,
864,
1282,
1994,
2365,
1655,
926,
2020,
4057,
551,
114,
1527,
3485,
2189,
3921,
1952,
255,
3686,
1757,
464,
3965,
4015,
3460,
2673,
646,
180,
2234,
3195,
1191,
2543,
3313,
2696,
2995,
1015,
892,
3668,
3068,
3986,
2092,
1562,
2168,
2718,
3338,
2631,
3180,
1137,
2446,
3218,
2800,
1810,
98,
890,
140,
3565,
3194,
2374,
2696,
2815,
1482,
2444,
690,
3091,
88,
571,
2373,
1039,
3082,
1808,
2003,
3485,
1818,
1166,
1455,
3795,
2443,
332,
4087,
1824,
416,
2076,
3146,
1863,
3082,
2133,
1640,
1448,
20,
1079,
3259,
1406,
1292,
1322,
1691,
3951,
1445,
3300,
3706,
1488,
853,
3853,
1863,
4066,
1277,
1229,
2097,
3358,
2377,
1247,
239,
508,
1024,
3900,
4091,
1506,
1538,
1671,
2446,
1845,
3414,
1678,
1523,
286,
3683,
2463,
3311,
1286,
3527,
3358,
3862,
1895,
1224,
2023,
2586,
3491,
414,
41,
606,
2638,
3389,
204,
1845,
1808,
3523,
1793,
3778,
1835,
754,
2410,
2736,
785,
3982,
1328,
1851,
96,
50,
3415,
50,
1277,
3866,
1687,
2442,
1472,
502,
1525,
126,
2617,
2426,
316,
2013,
391,
4032,
1644,
237,
872,
3145,
914,
1017,
3014,
2330,
2501,
2043,
1865,
853,
2846,
2751,
3908,
944,
3696,
2614,
58,
218,
1155,
987,
3781,
3999,
912,
3102,
1140,
3452,
1094,
3360,
108,
1312,
2468,
3861,
3899,
3050,
809,
1663,
2890,
954,
2393,
380,
1198,
2385,
3538,
3565,
3194,
999,
1657,
888,
3325,
3908,
3467,
3924,
70,
3177,
3933,
3695,
3659,
98,
79,
3715,
2015,
3541,
657,
2631,
3290,
54,
3953,
3013,
2891,
2817,
4072,
1192,
2547,
3421,
1019,
1286,
683,
2352,
1294,
3518,
3437,
166,
1014,
641,
1198,
4027,
1097,
3084,
2880,
366,
1853,
365,
3041,
3271,
643,
2477,
1010,
2383,
2462,
402,
1363,
2241,
1950,
2016,
3857,
2194,
3308,
2277,
1620,
2909,
3594,
2800,
3601,
685,
3488,
3082,
996,
3901,
3895,
58,
1163,
3472,
2480,
2675,
829,
2616,
1383,
2890,
2842,
2514,
557,
891,
179,
932,
3706,
415,
2834,
4006,
3471,
2330,
184,
1782,
152,
2501,
503,
2240,
512,
3026,
1906,
3006,
2980,
2895,
1229,
1286,
2395,
2610,
538,
3824,
538,
1890,
2194,
3586,
365,
3419,
2558,
664,
1042,
2011,
2129,
3740,
1833,
2097,
237,
2386,
2492,
2684,
92,
1460,
2432,
3889,
1284,
3707,
955,
209,
2694,
2209,
1970,
3073,
3554,
3312,
974,
2249,
3232,
289,
1273,
3309,
3026,
715,
632,
2734,
3035,
3965,
2091,
1650,
3234,
238,
381,
2550,
3622,
3317,
1567,
3330,
3215,
2821,
815,
933,
3298,
2001,
3374,
1349,
1904,
3232,
972,
178,
3385,
580,
795,
2151,
2428,
2923,
1219,
2427,
2065,
1434,
1048,
2949,
4039,
3021,
1302,
1804,
843,
3089,
2625,
1781,
2713,
922,
2531,
407,
940,
3591,
2056,
3902,
893,
2880,
614,
3440,
3732,
2751,
3261,
972,
3786,
574,
1002,
236,
172,
2555,
2066,
3274,
2680,
838,
3498,
1757,
3258,
210,
807,
130,
329,
587,
2812,
3610,
427,
3461,
2080,
3028,
1816,
2097,
365,
2684,
3019,
2492,
659,
2079,
1429,
1926,
2436,
1328,
1115,
1669,
2034,
1,
3682,
614,
93,
711,
3491,
2146,
3545,
349,
2146,
2497,
2224,
357,
548,
2281,
2726,
1477,
1632,
1169,
921,
4015,
3049,
3639,
298,
3824,
95,
4006,
1263,
2785,
1721,
2305,
3275,
2077,
1602,
295,
2728,
2625,
2933,
3880,
2883,
1406,
3069,
1993,
3366,
980,
1286,
3487,
2473,
337,
868,
1879,
417,
3523,
2263,
394,
393,
3218,
3416,
555,
2595,
237,
3467,
2293,
3440,
4074,
1642,
3440,
3204,
3118,
4005,
3738,
790,
3467,
4056,
2629,
388,
677,
1474,
348,
1173,
3030,
2512,
1221,
3717,
1443,
2934,
2844,
1726,
464,
2096,
2570,
2414,
1676,
2232,
418,
2832,
2141,
552,
982,
4051,
1889,
739,
751,
1636,
2198,
992,
1108,
3384,
3893,
1874,
3428,
1139,
1231,
841,
3896,
373,
3032,
3977,
1532,
3602,
1855
] |
EN_B00000_S02603_W000026
|
hf://datasets/amphion/Emilia-Dataset@bcaad00d13e7c101485990a46e88f5884ffed3fc/EN/EN-B000003.tar
|
{
"dnsmos": 3.2417,
"duration": 6.723,
"id": "EN_B00000_S02603_W000026",
"language": "en",
"speaker": "EN_B00000_S02603",
"text": " And what do we mean by that? What it means is we're going to take the estimate from each study.",
"wav": "EN_B00000/EN_B00000_S02603/mp3/EN_B00000_S02603_W000026.mp3"
}
|
EN_B00000_S02603_W000026.mp3
|
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122,
1854,
1696,
1109,
2993,
1419,
1517,
1384,
3378,
511,
3710,
4048,
3601,
2760,
2035,
780,
2599,
1504,
2314,
871,
3244,
3576,
993,
659,
1727,
3393,
2594,
3378,
3861,
2038,
1694,
517,
4003,
1135,
2823,
908,
2584,
3331,
3073,
2309,
1523,
911,
780,
634,
2870,
2631,
810,
1894,
2115,
3351,
2971,
74,
2597,
1463,
1645,
3664,
3173,
2708,
1675,
158,
2072,
702,
1766,
1428,
3176,
785,
127,
3390,
278,
1133,
1676,
555,
3825,
589,
1242,
879,
4048,
77,
3981,
2068,
2068,
2068,
3981
] |
[
2744,
3879,
791,
1088,
254,
3521,
200,
4051,
1994,
2527,
2038,
1703,
3811,
1149,
2991,
939,
1286,
2533,
1771,
2133,
3066,
1904,
2956,
3915,
1876,
3836,
1971,
2081,
2605,
109,
2859,
1667,
3162,
3642,
636,
1662,
2323,
663,
2094,
3641,
1978,
2455,
1677,
2405,
3531,
2537,
752,
3567,
1615,
3645,
549,
3492,
2610,
3246,
2135,
1135,
2758,
4082,
3860,
335,
2938,
942,
1754,
2490,
687,
2793,
3521,
380,
4037,
1150,
1672,
1222,
2276,
28,
46,
1324,
1977,
3361,
796,
3085,
3085,
2563,
617,
1404,
1228,
781,
2209,
31,
2937,
2805,
3436,
2564,
2831,
1425,
1786,
1786,
3337,
810,
1602,
1088,
2606,
2268,
9,
3430,
1651,
2385,
920,
1694,
1770,
1705,
3643,
3333,
2966,
2332,
1052,
3557,
1383,
493,
2602,
3430,
3430,
273,
1238,
2496,
2153,
420,
1241,
1609,
1662,
1012,
3715,
312,
924,
3479,
1650,
1134,
31,
1606,
4023,
3077,
3996,
2994,
3035,
2150,
116,
2409,
3592,
1383,
769,
814,
3507,
4004,
3187,
1097,
309,
2586,
2128,
71,
1736,
2426,
1736,
1736,
1736,
1736,
1736,
1736,
2426,
2426
] |
[
386,
2603,
2899,
4013,
3400,
1851,
1851,
3452,
3131,
3650,
1253,
1927,
197,
2330,
671,
4009,
3573,
793,
2625,
1179,
4072,
1680,
3300,
2581,
506,
3300,
1293,
3978,
1538,
1742,
100,
1321,
3777,
1208,
625,
0,
3545,
2811,
649,
2190,
2686,
3922,
1742,
341,
1639,
790,
3753,
2268,
2646,
2577,
4003,
3181,
3765,
446,
2004,
3149,
3311,
1088,
1545,
2187,
3686,
1414,
66,
932,
504,
1305,
2646,
2601,
1649,
4044,
3269,
3892,
2973,
3028,
3508,
3039,
2081,
276,
1381,
1476,
2117,
2005,
175,
2816,
1893,
3556,
3122,
3569,
41,
401,
522,
3289,
1022,
192,
3028,
2051,
1160,
1364,
3502,
1804,
3615,
613,
150,
3318,
1107,
2971,
1970,
872,
2450,
3632,
2863,
3997,
3908,
270,
2868,
2467,
193,
1360,
3527,
1985,
2003,
1009,
2142,
1390,
2758,
2415,
2056,
2970,
3807,
4047,
963,
3747,
789,
3992,
2412,
3191,
3009,
259,
3180,
853,
855,
3389,
1434,
3627,
3527,
2205,
3643,
4040,
3802,
208,
3439,
1741,
4065,
3379,
2826,
2895,
313,
2950,
349,
95,
1945,
130,
3009,
907,
1081,
2875,
2037,
283,
2823,
1588,
4025,
1102,
4069,
2874,
3164,
1433,
1956,
1110,
3458,
3071,
38,
2705,
3637,
176,
1147,
1908,
1053,
1546,
566,
2520,
3018,
2593,
2879,
449,
3539,
933,
3358,
2075,
3587,
2934,
3583,
2389,
3506,
2537,
2990,
572,
2817,
2395,
3358,
217,
2535,
3100,
3267,
2578,
579,
1163,
651,
2106,
3410,
3529,
1187,
2762,
3075,
1734,
1190,
1496,
2062,
685,
1632,
493,
1527,
897,
2754,
34,
2119,
3988,
3336,
3292,
1101,
1314,
3084,
402,
1731,
103,
2268,
1895,
811,
883,
1636,
3965,
1363,
1614,
1527,
1391,
3109,
1311,
1755,
1166,
3788,
838,
2990,
3395,
1658,
724,
3645,
4054,
1369,
95,
963,
1737,
2558,
1583,
1381,
838,
295,
3068,
1566,
3057,
1076,
127,
3379,
580,
3451,
1455,
859,
4072,
2282,
3849,
391,
196,
2788,
1225,
3145,
1303,
2749,
2065,
433,
1509,
3644,
939,
1317,
112,
3709,
1697,
1734,
1223,
240,
2641,
3327,
415,
1211,
689,
1332,
2117,
2619,
3217,
2486,
3977,
1568,
3422,
3422,
3422,
3422,
3422,
3422,
3422,
3422,
3422,
3422,
3422,
3422,
3422,
1568,
1532,
3602,
1855
] |
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