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Thank you for your interest in TFRBench! To participate in the leaderboard, please follow the directory structure and schema below to format your model predictions.
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## Public Inputs (What you receive)
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You will be provided with public input JSON files. Each file is a list of objects containing historical data and the timestamps for which you need to predict.
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Thank you for your interest in TFRBench! To participate in the leaderboard, please follow the directory structure and schema below to format your model predictions.
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## How to Download the Data
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You can download the dataset using the `huggingface_hub` library:
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```python
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from huggingface_hub import snapshot_download
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# Download the entire repository
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snapshot_download(repo_id="AtikAhamed/TFRBench", repo_type="dataset", local_dir="./my_local_data")
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```
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## Public Inputs (What you receive)
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You will be provided with public input JSON files. Each file is a list of objects containing historical data and the timestamps for which you need to predict.
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