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README.md
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- parameter-generation
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- benchmark
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- model-zoo
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configs:
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- config_name: default
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data_files:
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- split: train
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path: metadata.parquet
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---
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# NeWGen-Bench
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- Collected checkpoint trajectories: `collect/**/*.pth`
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- Training configs: `train/**/config/*.json`
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- Model definitions: `models/*.py`
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- Per-checkpoint metadata: `metadata.parquet`
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("Anonymous1Researcher/NeWGen-Bench")
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print(ds["train"][0])
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```
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Or load directly with pandas:
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```python
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import pandas as pd
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df = pd.read_parquet(
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"hf://datasets/Anonymous1Researcher/NeWGen-Bench/metadata.parquet"
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)
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```
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## Status
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This
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checkpoints will be
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## License
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- parameter-generation
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- benchmark
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- model-zoo
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---
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# NeWGen-Bench
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- Collected checkpoint trajectories: `collect/**/*.pth`
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- Training configs: `train/**/config/*.json`
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- Model definitions: `models/*.py`
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## Status
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This is an initial placeholder release. The metadata table and a
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representative sample of checkpoints will be added before the full paper
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deadline. The complete collection of trained checkpoints will be made
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available before the camera-ready deadline.
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## License
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