| --- |
| datasets: |
| - samsum |
| pipeline_tag: summarization |
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| widget: |
| - text: > |
| Laurie: So, what are your plans for this weekend? |
| |
| Christie: I don’t know. Do you want to get together or something? |
| |
| Sarah: How about going to see a movie? Cinemax 26 on Carson Boulevard is showing Enchanted. |
| Laurie: That sounds like a good idea. Maybe we should go out to eat beforehand. |
| |
| Sarah: It is fine with me. Where do you want to meet? |
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| Christie: Let’s meet at Summer Pizza House. I have not gone there for a long time. |
| |
| Laurie: Good idea again. I heard they just came up with a new pizza. It should be good because Summer Pizza House always has the best pizza in town. |
| |
| Sarah: When should we meet? |
| |
| Christie: Well, the movie is shown at 2:00PM, 4:00PM, 6:00PM and 8:00PM. |
| |
| Laurie: Why don’t we go to the 2:00PM show? We can meet at Summer Pizza House at noon. That will give us plenty of time to enjoy our pizza. |
| |
| Sarah: My cousin Karen is in town. Can I bring her along? I hate to leave her home alone. |
| |
| Christie: Karen is in town? Yes, bring her along. Laurie, you remember Karen? We met her at Sara’s high school graduation party two years ago. |
| |
| Laurie: I do not quite remember her. What does she look like? |
| |
| Sarah: She has blond hair, she is kind of slender, and she is about your height. |
| |
| Laurie: She wears eyeglasses, right? |
| |
| Sarah: Yes, and she was playing the piano off and on during the party. |
| |
| Laurie: I remember her now. Yes, do bring her along Sara. She is such a nice person, and funny too. |
| |
| Sarah: She will be happy to meet both of you again. |
| |
| Christie: What is she doing these days? |
| |
| Sarah: She graduated last June, and she will start her teaching career next week when the new school term begins. |
| |
| Laurie: What grade is she going to teach? |
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| Sarah: She will teach kindergarten. She loves working with kids, and she always has such a good rapport with them |
| |
| Christie: Kindergarten? She must be a very patient person. I always think kindergarten is the most difficult class to teach. Most of the kids have never been to school, and they have |
| e never been away from mommy for long. |
| |
| Sarah: I think Karen will do fine. She knows how to handle young children |
| |
| Laurie: I think the first few weeks will be tough. However, once the routine is set, it should not be too difficult to teach kindergarten. |
| |
| Christie: You are right. The kids might even look forward to going to school since they have so many friends to play with. |
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| Sarah: There are so many new things for them to do at school too. They do a lot of crafts in kindergarten. I am always amazed by the things kindergarten teachers do. |
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| Laurie: Yes, I have seen my niece come home with so many neat stuff. |
| |
| Christie: Maybe we can ask Karen to show us some of the things that we can do for this Halloween. |
| |
| Laurie: Maybe we can stop by the craft store after the movie. What do you think, Sara? |
| |
| Sarah: I will talk to her. I think she will like that. It will help her with school projects when Halloween comes. |
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| Christie: Michael’s is a good store for crafts. It always carries a variety of things, and you can find almost anything there. |
| |
| Laurie: There is a Michaels store not far away from Cinemax 26. I believe it is just around the corner, on Pioneer Avenue. We can even walk over there. |
| |
| Sarah: So, we plan to meet for pizza at noon, go to the movies at two, and shop at Michael’s afterward. Right? |
|
|
| Laurie and Christie: Yes. |
| model-index: |
| - name: bart-large-cnn-samsum |
| results: |
| - task: |
| type: summarization |
| name: Conversation Summarization |
| dataset: |
| name: >- |
| SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive |
| Summarization |
| type: samsum |
| metrics: |
| - type: rogue-1 |
| value: 54.8764 |
| name: Validation ROGUE-1 |
| - type: rogue-2 |
| value: 29.6869, |
| name: Validation ROGUE-2 |
| - type: rogue-l |
| value: 44.9874 |
| name: Validation ROGUE-L |
| - type: loss |
| value: 1.47812 |
| name: loss |
|
|
|
|
| --- |
