Datasets:

tuanhqv123
/

meeting-summarization

input stringlengths 204 347k	output stringlengths 50 1.1k	source stringclasses 2 values
#Person1#: Good morning. More Hotel. At your service. #Person2#: good morning! I'd like to make a reservation, please. Do you have any rooms available for the next week? #Person1#: All right. Single-room or double-room? #Person2#: Double-room, please. It's for an American couple. #Person1#: Hold on, please. Let me chec...	Benjamin books a double room with a nice garden-view for an American couple in #Person1#'s hotel which has an all-night party in the bar each Saturday.	dialogsum
Item 16. I'm sorry. Yes. Item 16, this is the budget oversight committees proposed funding recommendations to the fiscal year 16 budget. The first part of of the motion is a affirmation of what we just did, which is a motion to approve Mayor Garcia's recommendations as originally proposed. Even though we took action on...	Recommendation to adopt the Budget Oversight Committee’s proposed funding recommendations, as amended, to the FY 16 Proposed Budget. (A-11)	meetingbank
Let me go ahead and let me go ahead and go to Adam's 2620 728. Item 26 Report from Financial Management Recommendation to Declare Ordinance relating to Departmental Organization of the City of Long Beach Red and Adopted as Red. Okay. I have a motion and a second, please. Medium version in a second on these budget items...	Recommendation to declare ordinance relating to adopting an amendment to Ordinance No. C-6496, adopted July 5, 1988, and amended on January 24, 1989, July 11, 1989, December 5, 1989, March 20, 1990, July 3, 1990, September 18, 1990, July 2, 1991, July 7, 1992, January 26, 1993, August 24, 1993, June 28, 1994, July 18, ...	meetingbank
#Person1#: Hi Kara, this is Mike. #Person2#: Hello Mike. How are things going for you? #Person1#: Great, how are you? #Person2#: Fine. Everything is just fine. #Person1#: Kara, I had a great time the other night and was wondering if you would like to go out again this weekend. #Person2#: Mike, I enjoyed your company, b...	Mike invites Kara to go out again this weekend and Kara refuses because she needs to focus on studies.	dialogsum
#Person1#: John, I'm sorry, the air tickets for the International Day are sold out. #Person2#: Really? I didn't expect that. #Person1#: It's possible because everyone wants to travel during the holiday weekend. #Person2#: I should have booked the tickets in advance. #Person1#: Take it easy. I'll like you know if anyone...	#Person1# tells John the air tickets for the International Day are sold out.	dialogsum
#Person1#: I would like to make an appointment to discuss the problems I keep having with my apartment. #Person2#: Are you having problems? This is the first I'Ve heard of it. #Person1#: We gave you a list of problems last week. #Person2#: What kind of problems are you talking about? #Person1#: Well, the garbage dispos...	#Person1# wants to talk with #Person2# about the garbage problems but #Person2# is avoiding it. If the problems aren't addressed immediately, #Person1# will contact the health department, and #Person2# will not get a rent check.	dialogsum
Motion case item number three adopt resolution establishing the Southeast area specific plan pursuant to sections 65450. Dash 65458 of the California Government Code. And my motion includes adding language to sea set the Sea Set plan to require that the general plan land use element update be completed within five year...	Adopt resolution establishing the Southeast Area Specific Plan, pursuant to Sections 65450-65458 of the California Government Code;	meetingbank
#Person1#: What do you feel your greatest achievement has been at your current job? #Person2#: I think my greatest accomplishment has been acquiring the Hans account. #Person1#: That certainly is quite an accomplishment. #Person2#: Yes, it took a year and a lot of initiative to get that account. #Person1#: What's your ...	#Person2# thinks the greatest achievement has been acquiring the Hans account and talks about #Person2#'s sales record. #Person2# leaves the firm to take the next step in #Person2#'s career.	dialogsum
Motion carries. Can't. Exciting, please. Communication from City Attorney Recommendation to declare ordinance amending the Long Beach Municipal Code related to local enforcement and penalties for illegal marijuana businesses read and adopted as read citywide. Emotion in a second. Councilman Price. Do you have any comme...	Recommendation to declare ordinance amending the Long Beach Municipal Code by adding section 5.90.290 related to local enforcement and penalties for illegal marijuana businesses, read and adopted as read. (Citywide)	meetingbank
And then we'll go into the into the regular agenda, as we always do. And so with that, I do want to begin with our first hearing that we will be hearing this evening, which will which is the hearing related to our the Board of Harbor Commissioners action. And around the port, it's hearing number three. If you can pleas...	Recommendation to request City Council to: (1) receive supporting documentation into the record and conduct a public hearing on two appeals of the Board of Harbor Commissioners' certification of the Final Environmental Impact Report (EIR) for the Pier B On-Dock Rail Support Facility Project filed pursuant to Long Beach...	meetingbank
Okay. Thank you guys for being here. I really, really appreciate you guys coming out tonight. Thank you. Okay. And again, item 16 with Paul that I want to make sure I mention that again. So we've got a couple more items that were asked to be moved to the moved to the start of the agenda. So we're going to do item 24 ne...	Recommendation to declare ordinance amending the Long Beach Municipal Code by amending Section 2.01.380; and by repealing Section 2.01.390, all relating to officeholder accounts, read and adopted as read. (Citywide)	meetingbank
#Person1#: When do you leave for holiday? #Person2#: On the twentieth. We're flying. The flight takes seven and a half hours. #Person1#: And when are you back? #Person2#: On the twenty-eighth. I will give you a ring when we're back.	#Person1# asks about #Person2#'s date of leaving and return for the holiday.	dialogsum
#Person1#: Excuse me, Richard? Are you busy at the moment? #Person2#: Not really, Betty. What do you need? #Person1#: My fax machine's on the blink. Would you take a look at it? #Person2#: Sure. I just need to do one other job first. How about if I come up around 11:30?	Betty requests Richard to check the fax machine. Richard will come up later.	dialogsum
#Person1#: Lucy, I heard that you got a new job. Is that true? #Person2#: Yes, Tony. I am working as a guide in our city's museum. I introduce unexplained pictures, items and things to the visitors. #Person1#: But that is a hard job. You know, you will have to learn about history. #Person2#: I know. I like reading abou...	Lucy tells Tony she got a new job as a guide in the city's museum and she enjoys the job and gets some work experience.	dialogsum
#Person1#: Let's play a game! #Person2#: OK! How about Scrabble? #Person1#: No, no, a friend of mine taught me this really fun game. I'm going to describe someone's face, and you guess who it is! #Person2#: OK! #Person1#: Let's see. He has a roman nose, bushy eyebrows and dimples! #Person2#: Our cousin Pete! My turn! S...	#Person1# and #Person2# are playing a game. They describe someone's face and guess who it is.	dialogsum
#Person1#: Hello, this is the International Student Office. This is Leah. How may I help you? #Person2#: This is Nathaniel Brown, from English Department. I'd like to speak to Miss Collins about my accommodation situation. #Person1#: Well, I'm sorry. She is out for lunch at the moment. Can I take a message? #Person2#: ...	Nathaniel Brown calls to speak with Miss Collins, but she's out. Thus, #Person1# notes down his number and will have Collins call him back.	dialogsum
#Person1#: Oh, what a pretty dress! My daughter would love it. But it seems a bit too large. Do you have a smaller size? #Person2#: Sorry, this is the only one left. But don't worry. Children grow fast. #Person1#: Yes, that's true. I'll take it.	#Person1# buys a large pretty dress for daughter and #Person2# says children grow fast.	dialogsum
#Person1#: Good morning. Craftsman Company. Can I help you? #Person2#: Yes, good morning. This is Mr. Suzuki from Video TV. May I speak to Mr. Johnson? #Person1#: I'm sorry, but Mr. Johnson is out at the moment. Can I take a message? #Person2#: Uh, yes, okay. Tell him John Suzuki called. That's S-U-Z-U-K-I. #Person1#: ...	Mr. Suzuki calls to see Mr. Johnson about some videotapes but Mr. Johnson is out. #Person1# will tell Mr. Johnson about the call.	dialogsum

End of preview. Expand in Data Studio

Meeting Summarization Dataset

Long meeting/transcript → abstractive summary pairs, used to fine-tune tuanhqv123/longt5-meeting-summarization.

Fields

Field	Type	Description
`input`	string	Meeting transcript / long source text
`output`	string	Reference abstractive summary
`source`	string	Origin/source tag of the example

Splits

Balanced ~50/50 between short dialogue (DialogSum) and long meetings (MeetingBank):

Split	Total	dialogsum	meetingbank
train	5,896	2,948	2,948
validation	594	297	297
test	478	239	239

Input length (words): overall median ≈ 219, p90 ≈ 3,750. DialogSum median ≈ 117 (short chats); MeetingBank median ≈ 1,062 with a long tail (full meeting transcripts) — this is what exercises LongT5's long-context capacity.

Sources & licenses

This dataset is a re-packaged mix of public benchmark datasets (no proprietary/internal data):

`source` tag	Examples (train)	Origin	License
`dialogsum`	2,948	DialogSum — dialogue summarization	MIT
`meetingbank`	2,948	MeetingBank — city-council meeting summarization	CC-BY-NC 4.0

Please respect the original licenses — notably MeetingBank is CC-BY-NC 4.0 (non-commercial). Cite the original works when using this data.

Usage

from datasets import load_dataset

ds = load_dataset("tuanhqv123/meeting-summarization")
print(ds)
print(ds["train"][0]["input"][:300])
print(ds["train"][0]["output"])

Downloads last month: 15

Models trained or fine-tuned on tuanhqv123/meeting-summarization

tuanhqv123/longt5-meeting-summarization

Summarization • 0.3B • Updated 1 day ago • 28