alert-v2 / README.md
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---
dataset_info:
features:
- name: prompt
dtype: string
- name: category
dtype: string
- name: source
dtype: string
splits:
- name: train
num_bytes: 66812522
num_examples: 78580
download_size: 13815768
dataset_size: 66812522
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
task_categories:
- text-generation
- text2text-generation
- text-classification
extra_gated_prompt: >-
By filling out the form below I understand that ALERT is a derivative
collection of webscraped texts that use individual
licenses and their respective terms and conditions apply. I understand that
all content uses are subject to the terms of use. I understand that reusing
the content in ALERT might not be legal in all countries/regions and for
all use cases. I understand that ALERT is mainly targeted toward
researchers and is meant to be used in research. ALERT authors reserve
the right to revoke my access to this data. They reserve the right to modify
this data at any time in accordance with take-down requests.
extra_gated_fields:
Name: text
Email: text
Affiliation: text
Country: text
I have explicitly checked that downloading ALERT is legal in my jurisdiction, in the country/region where I am located right now, and for the use case that I have described above, I have also read and accepted the relevant Terms of Use: checkbox
language:
- en
size_categories:
- 10K<n<100K
---
This is the second version of the ALERT benchmark. It is a combination/merge of many current top-notch benchmarks on top of ALERT v1. This way, we have a very high coverage for each of our safety categories and subcategories in the benchmark. To this end, we classify each prompt into one of the safety categories.
Feel free to use and share our dataset and cite our benchmark accordingly.
Please see more info and a disclaimer at https://huggingface.co/datasets/Babelscape/ALERT