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Broaden scope description in README

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  # Golf-Forecaster
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- **LoRA adapter** for [gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b), RL-tuned to predict professional golf outcomes across PGA Tour, LIV Golf, LPGA, DP World Tour, majors, and the Ryder Cup. Trained on 3,178 binary forecasting questions from [GolfForecasting](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) using the [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk). Beats GPT-5.
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  [Dataset](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) · [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk) · [Future-as-Label paper](https://arxiv.org/abs/2601.06336) · [Outcome-based RL paper](https://arxiv.org/abs/2505.17989)
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  # Golf-Forecaster
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+ **LoRA adapter** for [gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b), RL-tuned to predict professional golf outcomes tournament winners, cuts, matchups, majors, team events, season races, world rankings, and player milestones across every major tour. Trained on 3,178 binary forecasting questions from [GolfForecasting](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) using the [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk). Beats GPT-5.
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  [Dataset](https://huggingface.co/datasets/LightningRodLabs/GolfForecasting) · [Lightning Rod SDK](https://github.com/lightning-rod-labs/lightningrod-python-sdk) · [Future-as-Label paper](https://arxiv.org/abs/2601.06336) · [Outcome-based RL paper](https://arxiv.org/abs/2505.17989)
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