---
title: play_chat_field
canonical_url: "https://www.modelscope.cn/datasets/burtenshaw/play_chat_field"
md_url: "https://www.modelscope.cn/datasets/burtenshaw/play_chat_field.md"
repository: burtenshaw/play_chat_field
last_updated: 2025-04-07
license: "Apache License 2.0"
storage_size: "13 KB"
downloads: 879
stars: 0
---

# play_chat_field

> play_chat_field - burtenshaw 在 ModelScope 开源的数据集。Dataset Card for playchatfield

burtenshaw/play_chat_field 是 ModelScope 魔搭社区上的数据集，存储大小 13 KB，采用 Apache License 2.0 许可。

- **Repository**: burtenshaw/play_chat_field
- **License**: Apache License 2.0
- **Storage size**: 13 KB
- **Downloads**: 879
- **Stars**: 0
- **Last updated**: 2025-04-07

Source: https://www.modelscope.cn/datasets/burtenshaw/play_chat_field

---

# Dataset Card for play_chat_field







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/play_chat_field")
```

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/play_chat_field")
```

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 |
| ---------- | ----- | ---- | -------- | -------- |
| chat | chat | chat | True |  |


### 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 |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| comment | comment | text | True | N/A | N/A |


<!-- check length of metadata properties -->





### Data Instances

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

```json
{
    "_server_id": "85243d10-5950-4bf3-8a02-622072d21036",
    "fields": {
        "chat": [
            {
                "content": "Hello World, how are you?",
                "role": "user"
            },
            {
                "content": "I\u0027m doing great, thank you!",
                "role": "bot"
            }
        ]
    },
    "id": "e76eca54-567b-46d3-84fb-970c3213bae3",
    "metadata": {},
    "responses": {},
    "status": "pending",
    "suggestions": {},
    "vectors": {}
}
```

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

```json
{
    "_server_id": "85243d10-5950-4bf3-8a02-622072d21036",
    "chat": [
        {
            "content": "Hello World, how are you?",
            "role": "user"
        },
        {
            "content": "I\u0027m doing great, thank you!",
            "role": "bot"
        }
    ],
    "id": "e76eca54-567b-46d3-84fb-970c3213bae3",
    "status": "pending"
}
```


### 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]