# Add Convence/ParseEmbed as an official benchmark on the Hub (If possible)

> Source: <https://discuss.huggingface.co/t/add-convence-parseembed-as-an-official-benchmark-on-the-hub-if-possible/176152#post_4>
> Published: 2026-06-15 15:39:52+00:00

Hi Hugging Face team,

I’d like to register `Convence/ParseEmbed`

as an official benchmark on the Hub.

Dataset: [Convence/ParseEmbed · Datasets at Hugging Face](https://huggingface.co/datasets/Convence/ParseEmbed)

It includes a root `eval.yaml`

with:

- name: ParseEmbed
- evaluation_framework: mteb
- tasks: mean, text_formatting, table
- config: parse-embed

ParseEmbed is a retrieval benchmark for embedding models. It tests whether models preserve parse-sensitive meaning under hard negatives, including semantic scope, formatting-sensitive text, and table grounding.

The dataset card documents the purpose, files, task IDs, and usage. The dataset loads with `datasets`

using the `parse-embed`

config and the task splits.

Could you please add it to the official benchmark allow-list?

Thanks! if something is wrong let me know

By any chance if a hf staff is reading this, respond please if you have time