Datasets:
id stringlengths 7 10 | pid stringlengths 9 12 | input stringlengths 6.31k 147k | output stringlengths 84 1.57k | input_token_count int64 1.75k 40.3k | output_token_count int64 19 311 |
|---|---|---|---|---|---|
tr-sq-1 | tr-sq-1_0 | How Did Project Manager and User Interface introduce the prototype of the remote control?
Project Manager: Yep. Soon as I get this. Okay. This is our last meeting. Um I'll go ahead and go through the minutes from the previous meeting. Uh and then we'll have a, the prototype presentation. {vocalsound} Um then we will um... | Project Manager introduced that the prototype incorporated fashion trends that people prefer fancy looking products like fruit and vegetable. After That, User Interface presented the product which looked like a banana and was bright yellow except for the blue button. The style was as simple as possible in order to fit ... | 8,221 | 111 |
tr-sq-2 | tr-sq-2_0 | How did Marketing design the product evaluation?
Project Manager: Yep. Soon as I get this. Okay. This is our last meeting. Um I'll go ahead and go through the minutes from the previous meeting. Uh and then we'll have a, the prototype presentation. {vocalsound} Um then we will um do an evaluation. Uh or we'll see what, ... | Marketing had some evaluation criteria in mind, based on previous marketing strategy, on the latest trends, and on user preferences. The team should figure out whether their product could solve the complaints of the ugly remote control. There was a seven-point scale rating for each criterion. The team would give commen... | 8,214 | 76 |
tr-sq-3 | tr-sq-3_0 | What did the team discuss during the product evaluation about its feature to solve customers'concerns?
Project Manager: Yep. Soon as I get this. Okay. This is our last meeting. Um I'll go ahead and go through the minutes from the previous meeting. Uh and then we'll have a, the prototype presentation. {vocalsound} Um th... | Generally speaking, the team agreed that the product was intuitive and had successfully incorporated main aims that the team had. The team believed the customers were not likely to lose the remote control since it was big and bright yellow with speech recognition. Moreover, Industrial Designer suggested adding an extra... | 8,227 | 101 |
tr-sq-4 | tr-sq-4_0 | How did the team evaluate the product about its technologically innovative features?
Project Manager: Yep. Soon as I get this. Okay. This is our last meeting. Um I'll go ahead and go through the minutes from the previous meeting. Uh and then we'll have a, the prototype presentation. {vocalsound} Um then we will um do a... | To start with, the team agreed that the remote control was indeed innovative with the LCD display incorporated and the way it could be used both-handed with an alarming feature. Also, it aimed at the recent fashion trend since it looked like a banana with a special yellow colour. Although some of its features were iden... | 8,220 | 86 |
tr-sq-5 | tr-sq-5_0 | What did the team discuss about the product cost?
Project Manager: Yep. Soon as I get this. Okay. This is our last meeting. Um I'll go ahead and go through the minutes from the previous meeting. Uh and then we'll have a, the prototype presentation. {vocalsound} Um then we will um do an evaluation. Uh or we'll see what,... | Project Manager first introduced the budget and broke it down to parts like batteries, electronics, case material supplements, interface type and then button supplements. The team agreed that the push button, integrated scroll-wheel and the LCD display cost a lot but case materials were all the same. In this case, the ... | 8,216 | 121 |
tr-sq-6 | tr-sq-6_0 | What did the team say about the project and overall process?
Project Manager: Yep. Soon as I get this. Okay. This is our last meeting. Um I'll go ahead and go through the minutes from the previous meeting. Uh and then we'll have a, the prototype presentation. {vocalsound} Um then we will um do an evaluation. Uh or we'l... | The team thought they had a really great team work experience. Everyone had put efforts into the process and gave opinions to design a good remote control. Also, the process incorporated different stages and new ideas could always be added based on the market finds. | 8,218 | 54 |
tr-gq-7 | tr-gq-7_0 | "Summarize the whole meeting.\nProject Manager: Yep. Soon as I get this. Okay. This is our last meet(...TRUNCATED) | "Firstly, Project Manager reviewed the overall process that the team designed the remote control tha(...TRUNCATED) | 8,213 | 170 |
tr-sq-8 | tr-sq-8_0 | "What did the group discuss about budget balancing?\nProject Manager: That should hopefully do the t(...TRUNCATED) | "The use of the LCD screen and the advanced chip cost the team half of the expenditure. Due to the b(...TRUNCATED) | 11,932 | 80 |
tr-sq-9 | tr-sq-9_0 | "Summarize the conclusion of the incorporation of articulation when discussing budget balancing.\nPr(...TRUNCATED) | "In the budget balancing, User Interface desired an articulation, which would, however, lead the rem(...TRUNCATED) | 11,941 | 98 |
tr-sq-10 | tr-sq-10_0 | "Summarize the conclusion of the location function when discussing budget balancing.\nProject Manage(...TRUNCATED) | "User Interface told the team that the corporate had decided to incorporate a voice recognition chip(...TRUNCATED) | 11,937 | 98 |
YAML Metadata Warning:The task_categories "text2text-generation" 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
qmsum-cleaned
prefixes
It's worth noting that each "document" in input is prefixed by a question/prompt on what the model is supposed to do. You may want to explicitly handle this in some way, or prefix your models trained on this dataset.
Most frequent "prefixes" separated via sentence-splitter in the train split:
| Sentence | Count | |
|---|---|---|
| 0 | Summarize the whole meeting. | 121 |
| 1 | Summarize the meeting | 25 |
| 2 | What did the team discuss about the product cost? | 4 |
| 3 | How did Marketing design the product evaluation? | 4 |
| 4 | Summarize the wrap up of the meeting. | 3 |
| 5 | What did the group discuss about user requirements of the new remote control? | 3 |
| 6 | What did the team discuss during the product evaluation? | 3 |
| 7 | Summarize the meeting. | 2 |
| 8 | Summarize what was said about digits form | 2 |
| 9 | What was discussed in the meeting? | 2 |
wordcloud
Visualized as a wordcloud (train split):
token counts
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