
# **CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society**
- **Github:** https://github.com/lightaime/camel
- **Website:** https://www.camel-ai.org/
- **Arxiv Paper:** https://arxiv.org/abs/2303.17760

## Dataset Summary

Physics dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 physics topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.

We provide the data in `physics.zip`.



## Data Fields

**The data fields for files in `physics.zip` are as follows:**

* `role_1`: assistant role
* `topic`: physics topic
* `sub_topic`: physics subtopic belonging to topic
* `message_1`: refers to the problem the assistant is asked to solve.
* `message_2`: refers to the solution provided by the assistant.

**Download in python**
```
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="camel-ai/physics", repo_type="dataset", filename="physics.zip",
                local_dir="datasets/", local_dir_use_symlinks=False)
```

### Citation

```
@misc{li2023camel,
      title={CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society}, 
      author={Guohao Li and Hasan Abed Al Kader Hammoud and Hani Itani and Dmitrii Khizbullin and Bernard Ghanem},
      year={2023},
      eprint={2303.17760},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}
```

## Disclaimer:

This data was synthetically generated by GPT4 and might contain incorrect information. The dataset is there only for research purposes.

---
license: cc-by-nc-4.0
---

task_categories:text-generation language:en license:cc-by-nc-4.0 instruction-finetuning arxiv:2303.17760 region:us
{"language": ["en"], "license": "cc-by-nc-4.0", "task_categories": ["text-generation"], "pretty_name": "CAMEL Physics", "tags": ["instruction-finetuning"], "arxiv": 2303.1776, "extra_gated_prompt": "By using this data, you acknowledge and agree to utilize it solely for research purposes, recognizing that the dataset may contain inaccuracies due to its artificial generation through ChatGPT.", "extra_gated_fields": {"Name": "text", "Email": "text"}, "I will adhere to the terms and conditions of this dataset": "checkbox"}
TAGS
#task_categories-text-generation #language-English #license-cc-by-nc-4.0 #instruction-finetuning #arxiv-2303.17760 #region-us 


# CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
- Github: URL
- Website: URL
- Arxiv Paper: URL

## Dataset Summary

Physics dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 physics topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.

We provide the data in 'URL'.



## Data Fields

The data fields for files in 'URL' are as follows:

* 'role_1': assistant role
* 'topic': physics topic
* 'sub_topic': physics subtopic belonging to topic
* 'message_1': refers to the problem the assistant is asked to solve.
* 'message_2': refers to the solution provided by the assistant.

Download in python


## Disclaimer:

This data was synthetically generated by GPT4 and might contain incorrect information. The dataset is there only for research purposes.

---
license: cc-by-nc-4.0
---

# CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
- Github: URL
- Website: URL
- Arxiv Paper: URL ## Dataset Summary

Physics dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 physics topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.

We provide the data in 'URL'. ## Data Fields

The data fields for files in 'URL' are as follows:

* 'role_1': assistant role
* 'topic': physics topic
* 'sub_topic': physics subtopic belonging to topic
* 'message_1': refers to the problem the assistant is asked to solve.
* 'message_2': refers to the solution provided by the assistant.

Download in python ## Disclaimer:

This data was synthetically generated by GPT4 and might contain incorrect information. The dataset is there only for research purposes.

---
license: cc-by-nc-4.0
---
TAGS
#task_categories-text-generation #language-English #license-cc-by-nc-4.0 #instruction-finetuning #arxiv-2303.17760 #region-us 
 # CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
- Github: URL
- Website: URL
- Arxiv Paper: URL ## Dataset Summary

Physics dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 physics topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.

We provide the data in 'URL'. ## Data Fields

The data fields for files in 'URL' are as follows:

* 'role_1': assistant role
* 'topic': physics topic
* 'sub_topic': physics subtopic belonging to topic
* 'message_1': refers to the problem the assistant is asked to solve.
* 'message_2': refers to the solution provided by the assistant.

Download in python ## Disclaimer:

This data was synthetically generated by GPT4 and might contain incorrect information. The dataset is there only for research purposes.

---
license: cc-by-nc-4.0
---
passage: TAGS
#task_categories-text-generation #language-English #license-cc-by-nc-4.0 #instruction-finetuning #arxiv-2303.17760 #region-us 
# CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
- Github: URL
- Website: URL
- Arxiv Paper: URL## Dataset Summary

Physics dataset is composed of 20K problem-solution pairs obtained using gpt-4. The dataset problem-solutions pairs generating from 25 physics topics, 25 subtopics for each topic and 32 problems for each "topic,subtopic" pairs.

We provide the data in 'URL'.## Data Fields

The data fields for files in 'URL' are as follows:

* 'role_1': assistant role
* 'topic': physics topic
* 'sub_topic': physics subtopic belonging to topic
* 'message_1': refers to the problem the assistant is asked to solve.
* 'message_2': refers to the solution provided by the assistant.

Download in python## Disclaimer:

This data was synthetically generated by GPT4 and might contain incorrect information. The dataset is there only for research purposes.

---
license: cc-by-nc-4.0
---