Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
10K<n<100K
ArXiv:
Tags:
License:
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| dataset_info: | |
| features: | |
| - name: prompt | |
| dtype: string | |
| - name: prompt_id | |
| dtype: string | |
| - name: messages | |
| list: | |
| - name: content | |
| dtype: string | |
| - name: role | |
| dtype: string | |
| - name: category | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 16496867 | |
| num_examples: 9500 | |
| - name: test | |
| num_bytes: 887460 | |
| num_examples: 500 | |
| download_size: 11045465 | |
| dataset_size: 17384327 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - ar | |
| pretty_name: لا روبوتات | |
| license: cc-by-nc-4.0 | |
| ### Dataset Card for "No Robots" 🙅♂️🤖 | |
| #### Summary | |
| "No Robots" is a dataset consisting of 10,000 instructions and demonstrations, created by professional annotators. It was translated using the Google Cloud Platform Translation API. This dataset can be used to train language models to follow instructions more accurately (instruction-tuned fine-tuning - SFT). The "No Robots" dataset was created based on the dataset described in OpenAI's [InstructGPT](https://huggingface.co/papers/2203.02155) paper, and includes the following categories: | |
| | Category | Count | | |
| |-------------------|------:| | |
| | Creation | 4560 | | |
| | Open Questions | 1240 | | |
| | Brainstorming | 1120 | | |
| | Chatting | 850 | | |
| | Rewriting | 660 | | |
| | Summarization | 420 | | |
| | Programming | 350 | | |
| | Classification | 350 | | |
| | Closed Questions | 260 | | |
| | Extraction | 190 | | |
| #### Languages | |
| This dataset is available in Arabic only. The original version in **English** can be found at [this link](https://huggingface.co/datasets/HuggingFaceH4/no_robots), and the **Turkish** version at [this link](https://huggingface.co/datasets/merve/tr-h4-norobots). | |
| #### Data Fields | |
| Columns as follows: | |
| * `prompt`: Specifies the instruction that the model should follow. | |
| * `prompt_id`: A unique identifier. | |
| * `messages`: A list containing dictionaries, each dictionary describes a message (key: content) and who sent it (key: role). | |
| * `category`: The task category, I did not translate this. | |
| #### Splits | |
| | | train | test | | |
| |------------------|------:|-----:| | |
| | No Robots | 9500 | 500 | | |
| #### License | |
| The dataset is available under the [(CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/legalcode) license. | |
| #### Citation Information | |
| ``` | |
| @misc{no_robots, | |
| author = {Nazneen Rajani and Lewis Tunstall and Edward Beeching and Nathan Lambert and Alexander M. Rush and Thomas Wolf}, | |
| title = {No Robots}, | |
| year = {2023}, | |
| publisher = {Hugging Face}, | |
| journal = {Hugging Face repository}, | |
| howpublished = {\url{https://huggingface.co/datasets/HuggingFaceH4/no_robots}} | |
| } | |
| ``` | |