Create README.md
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README.md
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---
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datasets:
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- Quay1k/Social-Emotional-Learning
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- kevinwon32/NONPROFIT
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- FBK-MT/gender-bias-PE
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- joey234/mmlu-human_sexuality
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language:
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- en
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- es
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** BCNY SEE
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- **Model type:** Research
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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Create staff presentations educating them on the BCNY journey.
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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Topics covered include: social capital, developmental assets, and youth development outcomes for boys
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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Organizations and leaders that fail to partner with participants, members, beneficiaries through dialogue.
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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The model will mostly be limited to content focused on:
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• Race Equity
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• Gender Equity
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• Economic Equity
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• Freedom
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• Resistance, Perserverance (resisting what we don’t want and have better idea) and
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• Justice
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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SEE
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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https://bcny-my.sharepoint.com/:x:/g/personal/prospero_herrera_bcny_org/EfirXEvoKOtBh_HkAnyu9OIButRwQSyxuBOo8qMPmlMWQg
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#### Summary
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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### Model Architecture and Objective
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Ensure staff presentations account for inclusion of topics on equity, gender, and sexuality.
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