PersonaHub|合成数据生成数据集|大型语言模型数据集

# Dataset Card for PersonaHub

This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).

## Using this dataset with Argilla

To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:

```python
import argilla as rg

ds = rg.Dataset.from_hub("burtenshaw/PersonaHub")
```

This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.

## Using this dataset with `datasets`

To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:

```python
from datasets import load_dataset

ds = load_dataset("burtenshaw/PersonaHub")
```

This will only load the records of the dataset, but not the Argilla settings.

## Dataset Structure

This dataset repo contains:

* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`.
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.

The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.

### Fields

The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.

| Field Name | Title | Type | Required | Markdown |
| ---------- | ----- | ---- | -------- | -------- |
| input_persona | Persona | text | True | False |
| synthesized_text | Synthesized text | text | True | True |
| description | Description | text | True | False |

### Questions

The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.

| Question Name | Title | Type | Required | Description | Values/Labels |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| chosen_rating | Chosen response | rating | True | Rate the quality of the chosen response | [1, 2, 3, 4, 5] |
| correction | Correction | text | True | Please provide a correction to the conversation | N/A |
| feedback | Feedback | text | True | Please provide feedback on the conversation | N/A |

### Vectors
The **vectors** contain a vector representation of the record that can be used in search.

| Vector Name | Title | Dimensions |
|-------------|-------|------------|
| input_persona_vector | input_persona_vector | [1, 768] |
| synthesized_text_vector | synthesized_text_vector | [1, 768] |

### Data Instances

An example of a dataset instance in Argilla looks as follows:

```json
{
"_server_id": "94c6b533-cd8a-45b6-a1f6-2798be76fc8e",
"fields": {
"description": "math problem",
"input_persona": "A community leader in a conflict-affected area who helps navigate logistics challenges and ensures the safe distribution of supplies",
"synthesized_text": "Consider a conflict-affected area represented by a graph G(V, E), where V is the set of vertices representing different locations in the area and E is the set of edges representing the paths between these locations. The community leader needs to ensure the safe distribution of supplies from a source location s to a target location t.\n\nLet\u0027s denote the safety level of each path e \u2208 E by a real number w(e) in the range [0, 1], where 0 represents the most dangerous path and 1 represents the safest path. The safety level of a route from s to t is defined as the product of the safety levels of all the paths in the route.\n\nThe community leader wants to find the safest route from s to t. Formulate this problem as an optimization problem and find a polynomial-time algorithm to solve it.\n\nHint: Consider the logarithm of the safety levels and transform the problem into a shortest path problem."
},
"id": "7bf149f5-187f-4766-a1b9-8314af5f8c27",
"metadata": {},
"responses": {},
"status": "pending",
"suggestions": {
"correction": {
"agent": null,
"score": null,
"value": "Consider a conflict-affected area represented by a graph G(V, E), where V is the set of vertices representing different locations in the area and E is the set of edges representing the paths between these locations. The community leader needs to ensure the safe distribution of supplies from a source location s to a target location t.\n\nLet\u0027s denote the safety level of each path e \u2208 E by a real number w(e) in the range [0, 1], where 0 represents the most dangerous path and 1 represents the safest path. The safety level of a route from s to t is defined as the product of the safety levels of all the paths in the route.\n\nThe community leader wants to find the safest route from s to t. Formulate this problem as an optimization problem and find a polynomial-time algorithm to solve it.\n\nHint: Consider the logarithm of the safety levels and transform the problem into a shortest path problem."
}
},
"vectors": {}
}
```

While the same record in HuggingFace `datasets` looks as follows:

```json
{
"_server_id": "94c6b533-cd8a-45b6-a1f6-2798be76fc8e",
"correction.suggestion": "Consider a conflict-affected area represented by a graph G(V, E), where V is the set of vertices representing different locations in the area and E is the set of edges representing the paths between these locations. The community leader needs to ensure the safe distribution of supplies from a source location s to a target location t.\n\nLet\u0027s denote the safety level of each path e \u2208 E by a real number w(e) in the range [0, 1], where 0 represents the most dangerous path and 1 represents the safest path. The safety level of a route from s to t is defined as the product of the safety levels of all the paths in the route.\n\nThe community leader wants to find the safest route from s to t. Formulate this problem as an optimization problem and find a polynomial-time algorithm to solve it.\n\nHint: Consider the logarithm of the safety levels and transform the problem into a shortest path problem.",
"correction.suggestion.agent": null,
"correction.suggestion.score": null,
"description": "math problem",
"id": "7bf149f5-187f-4766-a1b9-8314af5f8c27",
"input_persona": "A community leader in a conflict-affected area who helps navigate logistics challenges and ensures the safe distribution of supplies",
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"status": "pending",
"synthesized_text": "Consider a conflict-affected area represented by a graph G(V, E), where V is the set of vertices representing different locations in the area and E is the set of edges representing the paths between these locations. The community leader needs to ensure the safe distribution of supplies from a source location s to a target location t.\n\nLet\u0027s denote the safety level of each path e \u2208 E by a real number w(e) in the range [0, 1], where 0 represents the most dangerous path and 1 represents the safest path. The safety level of a route from s to t is defined as the product of the safety levels of all the paths in the route.\n\nThe community leader wants to find the safest route from s to t. Formulate this problem as an optimization problem and find a polynomial-time algorithm to solve it.\n\nHint: Consider the logarithm of the safety levels and transform the problem into a shortest path problem.",
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}
```

### Data Splits

The dataset contains a single split, which is `train`.

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation guidelines

[More Information Needed]

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

[More Information Needed]