task_categories:text-generation task_categories:text2text-generation task_categories:question-answering size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif datacraft
---
size_categories: n<1K
task_categories:
- text-generation
- text2text-generation
- question-answering
dataset_info:
  features:
  - name: prompt
    dtype: string
  - name: completion
    dtype: string
  - name: system_prompt
    dtype: string
  splits:
  - name: train
    num_bytes: 46706
    num_examples: 10
  download_size: 44476
  dataset_size: 46706
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
---

<p align="left">
  <a href="https://github.com/argilla-io/distilabel">
    <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
  </a>
</p>

# Dataset Card for my-distiset-561563c9

This dataset has been created with [distilabel](https://distilabel.argilla.io/).



## Dataset Summary

This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:

```console
distilabel pipeline run --config "https://huggingface.co/datasets/tarik645/my-distiset-561563c9/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/tarik645/my-distiset-561563c9/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


<details><summary> Configuration: default </summary><hr>

```json
{
    "completion": "**Dialogue 1: Introduction**\n* **Date:** 2023-03-01\n* **Difficulty Level:** Beginner\n* **Student Name:** Ay\u015fe\n* **English Teacher:** Emma\n\n**Q1:** Hi Ay\u015fe! How are you today?\nA1: I\u0027m fine, thanks. How about you, Emma?\n\n**Q2:** I\u0027m good, thank you. What\u0027s your favorite subject in school?\nA2: My favorite subject is English, of course! I love learning English.\n\n**Q3:** That\u0027s great! Why do you like English?\nA3: I like it because I want to travel around the world and I think English is a useful language.\n\n**Q4:** That\u0027s a great reason. Where do you want to travel to first?\nA4: I want to go to Paris. I\u0027ve always wanted to visit the Eiffel Tower.\n\n**Q5:** That\u0027s a great choice. Have you ever been to Paris before?\nA5: No, but I\u0027ve seen many pictures of it and I love the way it looks.\n\n**Q6:** It\u0027s a beautiful city. I\u0027ve visited Paris. It\u0027s like a dream come true.\n\n**Q7:** Really? I\u0027d love to have that experience. What do you like to do in your free time?\nA7: I like playing soccer with my friends and riding my bike in the park.\n\n**Q8:** That sounds like fun. Do you have a bike?\nA8: Yes, I do! It\u0027s my favorite toy.\n\n**Q9:** That\u0027s great! Do you like riding your bike in the rain?\nA9: Actually, I don\u0027t like riding my bike in the rain.\n\n**Q10:** Okay. What about watching TV? Do you like watching TV?\nA10: Yeah, I do! My favorite TV show is actually an American series called \"Game of Thrones\".\n\n**Q11:** That\u0027s an interesting choice. Have you finished watching the series?\nA11: Almost. I started watching it last month.\n\n**Q12:** Oh, that\u0027s a very long series. Are you scared of any animals?\nA12: Actually, no I\u0027m not. I have a pet dog and I love my dog.\n\n**Q13:** Oh, cool! What do you like to eat?\nA13: I love pizza, pasta and salads. What about you, Emma?\n\n**Q14:** I like eating pizza too. Have you ever tried Turkish cuisine?\nA14: Actually, no I haven\u0027t! I\u0027ll have to try some Turkish food when I visit Istanbul.\n\n**Q15:** You should definitely try it! It\u0027s delicious. What\u0027s your favorite color?\nA15: My favorite color is blue. How about you, Mr. Emma?\n\n**Q16:** It\u0027s Emma, not Mr. Emma! And I like green actually.\n\n**Q17:** My mistake! Have you ever learned any other languages besides English?\nA17: Yeah, I know some Spanish and I\u0027m trying to learn Turkish.\n\n**Q18:** That\u0027s great! I\u0027m glad to hear that. Do you like eating in a restaurant?\nA18: Yes, I do! Mr. Emma, can we eat Turkish food in a restaurant this weekend?\n\n**Q19:** Ha ha, Emma I told you! Let\u0027s go to a Turkish restaurant this weekend. \n\n**Q20:** Yes! I\u0027ll pick up you at six Mr. Emma.\n\n**Q21:** 5\u0027o clock works better for me Mr. Emma, I mean, Emma.",
    "prompt": "Here is a sample dataset of 50 dialogues with 100 question and answer pairs. I will keep adding more to reach the target of 5000.\n\n**Dialogue 1: Introduction**\n* **Date:** 2023-03-01\n* **Difficulty Level:** Beginner\n* **Student Name:** Ay\u015fe\n* **English Teacher:** Emma\n\n**Q1:** Hi Ay\u015fe! How are you today?\nA1: I\u0027m fine, thanks. How about you, Emma?\n\n**Q2:** I\u0027m good, thank you. What\u0027s your favorite subject in school?\nA2: My favorite subject is English, of course! I love learning English.\n\n**Q3:** That\u0027s great! Why do you like English?\nA3: I like it because I want to travel around the world and I think English is a useful language.\n\n**Q4:** That\u0027s a great reason. Where do you want to travel to first?\nA4: I want to go to Paris. I\u0027ve always wanted to visit the Eiffel Tower.\n\n**Q5:** That\u0027s a wonderful choice. Have you ever been to Paris before?\nA5: No, but I\u0027ve seen many pictures of it and I love the way it looks.\n\n**Q6:** It\u0027s a beautiful city. I have visited Paris. It\u0027s like a dream come true.\n\n**Q7:** Really? I\u0027d love to have that experience. What do you like to do in your free time?\nA7: I like playing soccer with my friends and riding my bike in the park.\n\n**Q8:** That sounds like fun. Do you have a bike?\nA8: Yes, I do! It\u0027s my favorite toy.\n\n**Q9:** That\u0027s great! Do you like riding your bike in the rain?\nA9: Actually, I don\u0027t like riding my bike in the rain.\n\n**Q10:** Okay. What about watching TV? Do you like watching TV?\nA10: Yeah, I do! My favorite TV show is actually an American series called \"Game of Thrones\".\n\n**Q11:** That\u0027s an interesting choice. Have you finished watching the series?\nA11: Almost. I started watching it last year.\n\n**Q12:** Oh, that\u0027s a very long series. Are you scared of any animals?\nA12: Actually, no I\u0027m not. I have a pet dog and a cat.\n\n**Q13:** Oh, cool! What do you like to eat?\nA13: I",
    "system_prompt": "Create a dataset of 5000 question and answer dialogues containing a mix of simple and more complex vocabulary and grammatical structures, focusing on conversations between an English teacher and her Turkish students, covering everyday topics such as introductions, hobbies, food, travel, questions about a video being watched, etc. within the dialogues there should be conversations that include vocabulary. Ensure that each dialogue is 1-2 minutes long, contains about 50-75 sentences, contains about 20-30 questions and 20-30 answers, and provides a clear and concise format with spaces for further contextual information such as date, subject, difficulty level and student names, all in a machine-readable format, ending with the sentence: User questions and answers are contextual and meaningful, User I hope this dataset will help language learning."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("tarik645/my-distiset-561563c9", "default")
```

Or simply as it follows, since there's only one configuration and is named `default`: 

```python
from datasets import load_dataset

ds = load_dataset("tarik645/my-distiset-561563c9")
```


</details>




