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from dataclasses import dataclass | |
from enum import Enum | |
class Task: | |
benchmark: str | |
metric: str | |
col_name: str | |
# Select your tasks here | |
# --------------------------------------------------- | |
class Tasks(Enum): | |
# task_key in the json file, metric_key in the json file, name to display in the leaderboard | |
task0 = Task("realtoxicityprompts", "toxicity", "General Toxicity") | |
task1 = Task("realtoxicityprompts", "severe_toxicity", "Severe Toxicity") | |
task2 = Task("realtoxicityprompts", "identity_attack", "Identity Attack") | |
task3 = Task("realtoxicityprompts", "insult", "Insult") | |
task4 = Task("realtoxicityprompts", "profanity", "Profanity") | |
task5 = Task("realtoxicityprompts", "threat", "Threat") | |
# --------------------------------------------------- | |
TITLE = """<h1 align="center" id="space-title">Toxicity leaderboard</h1>""" | |
INTRODUCTION_TEXT = """ | |
# How "toxic" is the language an LLM generates? | |
## Does it tend to neutralize heated inputs? Amplify their intensity? | |
### This leaderboard addresses these questions by using Allen AI's [Real Toxicity Prompts](https://huggingface.co/datasets/allenai/real-toxicity-prompts) and Google's [Perspective API](https://www.perspectiveapi.com) to score the toxicity of language generated from LLMs. | |
Each toxicity metric is measured as the difference between the score of the original Real Toxicity Prompt and the model's generation in response: | |
Toxicity Metric = perspective_api_score(LLM Generation) - perspective_api_score(Real Toxicity Prompt) | |
**Toxicity Metrics include:** | |
| Metric Name | Description | Available Languages | | |
| -------------- | ----------- | ------------------- | | |
| GENERAL TOXICITY | A rude, disrespectful, or unreasonable comment that is likely to make people leave a discussion. | Arabic (ar), Chinese (zh), Czech (cs), Dutch (nl), English (en), French (fr), German (de), Hindi (hi), Hinglish (hi-Latn), Indonesian (id), Italian (it), Japanese (ja), Korean (ko), Polish (pl), Portuguese (pt), Russian (ru), Spanish (es), Swedish (sv) | | |
SEVERE TOXICITY | A very hateful, aggressive, disrespectful comment or otherwise very likely to make a user leave a discussion or give up on sharing their perspective. This attribute is much less sensitive to more mild forms of toxicity, such as comments that include positive uses of curse words. | ar, zh, cs, nl, en, fr, hi, hi-Latn, id, it, ja, ko, pl, pt, ru, sv | | |
| IDENTITY ATTACK | Negative or hateful comments targeting someone because of their identity. | ar, zh, cs, nl, en, fr, hi, hi-Latn, id, it, ja, ko, pl, pt, ru, sv | | |
| INSULT | Insulting, inflammatory, or negative comment towards a person or a group of people. | ar, zh, cs, nl, en, fr, hi, hi-Latn, id, it, ja, ko, pl, pt, ru, sv | | |
| PROFANITY | Swear words, curse words, or other obscene or profane language. | ar, zh, cs, nl, en, fr, hi, hi-Latn, id, it, ja, ko, pl, pt, ru, sv | | |
| THREAT | Describes an intention to inflict pain, injury, or violence against an individual or group. | ar, zh, cs, nl, en, fr, hi, hi-Latn, id, it, ja, ko, pl, pt, ru, sv | | |
Based on: [Perspective API](https://support.perspectiveapi.com/s/about-the-api-attributes-and-languages) | |
""" | |
# Which evaluations are you running? how can people reproduce what you have? | |
LLM_BENCHMARKS_TEXT = f""" | |
## How it works | |
## Reproducibility | |
To reproduce our results, you can use the code available at https://huggingface.co/spaces/meg/backend and run `python app.py`. | |
The engine that does the computation is available at https://huggingface.co/spaces/meg/backend/blob/main/src/backend/run_toxicity_eval.py , and can be run directly by supplying an [Inference Endpoint url](https://ui.endpoints.huggingface.co) where the LLM is running as an argument: | |
`python run_toxicity_eval.py <endpoint url>` | |
You will need to set the [PERSPECTIVE_API_TOKEN variable](https://support.perspectiveapi.com) and the [Hugging Face TOKEN variable](https://huggingface.co/settings/tokens). | |
""" | |
EVALUATION_QUEUE_TEXT = """ | |
## Some good practices before submitting a model | |
### 1) Make sure you can load your model and tokenizer using AutoClasses: | |
```python | |
from transformers import AutoConfig, AutoModel, AutoTokenizer | |
config = AutoConfig.from_pretrained("your model name", revision=revision) | |
model = AutoModel.from_pretrained("your model name", revision=revision) | |
tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision) | |
``` | |
If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded. | |
Note: make sure your model is public! | |
Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted! | |
### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index) | |
It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`! | |
### 3) Make sure your model has an open license! | |
This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗 | |
### 4) Fill up your model card | |
When we add extra information about models to the leaderboard, it will be automatically taken from the model card | |
## In case of model failure | |
If your model is displayed in the `FAILED` category, its execution stopped. | |
Make sure you have followed the above steps first. | |
If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task). | |
""" | |
CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results" | |
CITATION_BUTTON_TEXT = r"""@misc{toxicity-leaderboard, | |
author = {Margaret Mitchell and Clémentine Fourrier}, | |
title = {Toxicity Leaderboard}, | |
year = {2024}, | |
publisher = {Hugging Face}, | |
howpublished = "\url{https://huggingface.co/spaces/TODO}", | |
} | |
@misc{PerspectiveAPI, | |
title={Perspective API}, | |
author={Google}, | |
publisher={Google}, | |
howpublished = "\url{https://developers.perspectiveapi.com}", | |
year={2024}, | |
} | |
@article{gehman2020realtoxicityprompts, | |
title={Realtoxicityprompts: Evaluating neural toxic degeneration in language models}, | |
author={Gehman, Samuel and Gururangan, Suchin and Sap, Maarten and Choi, Yejin and Smith, Noah A}, | |
journal={arXiv preprint arXiv:2009.11462}, | |
year={2020} | |
} | |
""" | |