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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: odc-by
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task_categories:
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- text-generation
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language:
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- en
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size_categories:
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- 100K<n<1M
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---
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# fingpt - all - prompt/response format
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loaded/created via:
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```py
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from datasets import load_dataset
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dataset_names = [
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"FinGPT/fingpt-sentiment-train",
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"FinGPT/fingpt-fiqa_qa",
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"FinGPT/fingpt-headline-cls",
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"FinGPT/fingpt-convfinqa",
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"FinGPT/fingpt-finred-cls",
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"FinGPT/fingpt-ner",
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"FinGPT/fingpt-finred",
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"FinGPT/fingpt-sentiment-cls",
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"FinGPT/fingpt-ner-cls",
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"FinGPT/fingpt-finred-re",
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"FinGPT/fingpt-headline"
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]
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ds_list = []
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for ds_name in dataset_names:
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ds = load_dataset(ds_name, split="train")
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ds = ds.map(lambda x: {'source': ds_name}, num_proc=8)
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ds_list.append(ds)
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ds_list
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```
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See [fingpt](https://huggingface.co/FinGPT) page for details.
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