>>> from datasets import load_dataset
... 
... ds = load_dataset("HIT-TMG/TruthReader_RAG_train")
...
>>> from datasets import load_dataset
... 
... ds2 = load_dataset("FreedomIntelligence/RAG-Instruct")
...
>>> import pandas as pd
... 
... # Login using e.g. `huggingface-cli login` to access this dataset
... splits = {'train': 'covidqa/train-00000-of-00001.parquet', 'test': 'covidqa/test-00000-of-00001.parquet', 'validation': 'covidqa/validation-00000-of-00001.parquet'}
... dfcovid = pd.read_parquet("hf://datasets/galileo-ai/ragbench/" + splits["train"])
...
>>> import pandas as pd
... 
... # Login using e.g. `huggingface-cli login` to access this dataset
... splits = {'train': 'cuad/train-00000-of-00001.parquet', 'validation': 'cuad/validation-00000-of-00001.parquet', 'test': 'cuad/test-00000-of-00001.parquet'}
... dfcuad = pd.read_parquet("hf://datasets/galileo-ai/ragbench/" + splits["train"])
...
>>> import pandas as pd
... 
... # Login using e.g. `huggingface-cli login` to access this dataset
... splits = {'train': 'delucionqa/train-00000-of-00001.parquet', 'validation': 'delucionqa/validation-00000-of-00001.parquet', 'test': 'delucionqa/test-00000-of-00001.parquet'}
... dfdelucionqa = pd.read_parquet("hf://datasets/galileo-ai/ragbench/" + splits["train"])
...
>>> ds2
DatasetDict({
    train: Dataset({
        features: ['question', 'answer', 'documents'],
        num_rows: 40541
    })
})
>>> help(load_dataset)
>>> ls /home/user/.cache/huggingface/
>>> ls /home/user/.cache/huggingface/datasets
>>> ls /home/user/.cache/huggingface/
>>> ls /home/user/.cache/huggingface/xet
>>> ls /home/user/.cache/huggingface/hub
>>> from datasets import load_dataset
... 
... # Login using e.g. `huggingface-cli login` to access this dataset
... ds3 = load_dataset("galileo-ai/ragbench", "covidqa")
...
>>> dses = []
>>> dses.append(ds)
>>> dses.append(ds1)
>>> dses.append(ds2)
>>> dses.append(ds3)
>>> for rbname in 'delucionqa cuad'.split():
...     dses.append(load_dataset("galileo-ai/ragbench", rbname))
...
>>> history -o -p -f rdrag-benchmarks.hist.ipy
