size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif
---
size_categories: n<1K
dataset_info:
  features:
  - name: text
    dtype: string
  - name: completion
    dtype: string
  - name: meta
    struct:
    - name: category
      dtype: string
    - name: completion
      dtype: string
    - name: id
      dtype: int64
    - name: input
      dtype: 'null'
    - name: motivation_app
      dtype: 'null'
    - name: prompt
      dtype: string
    - name: source
      dtype: string
    - name: subcategory
      dtype: string
  - name: embedding
    sequence: int64
  splits:
  - name: train
    num_bytes: 26893
    num_examples: 10
  download_size: 22677
  dataset_size: 26893
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---

<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 distilabel-sentence-transformers-binary

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/gabrielmbmb/distilabel-sentence-transformers-binary/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/gabrielmbmb/distilabel-sentence-transformers-binary/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "completion": "Denote the number of chocolates each person has by the letter of their first name. We know that\nA = D + 12\nD = R + 6\nA = 2 * R\n\nThus, A = (R + 6) + 12 = R + 18\nSince also A = 2 * R, this means 2 * R = R + 18\nHence R = 18\nHence D = 18 + 6 = 24",
    "embedding": [
        49,
        -16,
        -115,
        -3,
        58,
        32,
        15,
        -66,
        107,
        -63,
        115,
        55,
        -53,
        -2,
        84,
        37,
        -103,
        77,
        17,
        -38,
        -110,
        39,
        39,
        0,
        96,
        -13,
        -7,
        -33,
        -73,
        -22,
        63,
        124,
        -30,
        116,
        -101,
        93,
        -53,
        -93,
        -20,
        85,
        -64,
        23,
        -69,
        -121,
        63,
        35,
        36,
        -85,
        79,
        -50,
        -11,
        6,
        -101,
        13,
        -120,
        95,
        1,
        -22,
        -7,
        121,
        -63,
        -26,
        -99,
        23,
        -101,
        18,
        -64,
        20,
        -11,
        11,
        -55,
        78,
        -112,
        116,
        70,
        -32,
        89,
        -92,
        -30,
        116,
        3,
        -105,
        -108,
        0,
        -78,
        34,
        -116,
        -27,
        -67,
        -113,
        59,
        71,
        -122,
        -83,
        -81,
        -119,
        99,
        106,
        -9,
        -34,
        92,
        78,
        34,
        90,
        0,
        87,
        -116,
        80,
        -78,
        -92,
        -108,
        -128,
        93,
        42,
        -34,
        -70,
        -57,
        85,
        19,
        17,
        -3,
        -92,
        20,
        33,
        -79,
        -101,
        7,
        -78
    ],
    "meta": {
        "category": "Question Answering",
        "completion": "Denote the number of chocolates each person has by the letter of their first name. We know that\nA = D + 12\nD = R + 6\nA = 2 * R\n\nThus, A = (R + 6) + 12 = R + 18\nSince also A = 2 * R, this means 2 * R = R + 18\nHence R = 18\nHence D = 18 + 6 = 24",
        "id": 0,
        "input": null,
        "motivation_app": null,
        "prompt": "Arianna has 12 chocolates more than Danny. Danny has 6 chocolates more than Robbie. Arianna has twice as many chocolates as Robbie has. How many chocolates does Danny have?",
        "source": "surge",
        "subcategory": "Math"
    },
    "text": "Arianna has 12 chocolates more than Danny. Danny has 6 chocolates more than Robbie. Arianna has twice as many chocolates as Robbie has. How many chocolates does Danny have?"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("gabrielmbmb/distilabel-sentence-transformers-binary", "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("gabrielmbmb/distilabel-sentence-transformers-binary")
```


</details>
