Super-squash branch 'main' using huggingface_hub

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README.md

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+---
+dataset_info:
+  features:
+  - name: prompt
+    dtype: string
+  - name: response
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 194746016
+    num_examples: 418357
+  download_size: 89077742
+  dataset_size: 194746016
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+license: odc-by
+task_categories:
+- text-generation
+language:
+- en
+size_categories:
+- 100K<n<1M
+---
+
+
+# fingpt - all - prompt/response format
+
+
+loaded/created via:
+
+
+```py
+from datasets import load_dataset
+
+dataset_names = [
+    "FinGPT/fingpt-sentiment-train",
+    "FinGPT/fingpt-fiqa_qa",
+    "FinGPT/fingpt-headline-cls",
+    "FinGPT/fingpt-convfinqa",
+    "FinGPT/fingpt-finred-cls",
+    "FinGPT/fingpt-ner",
+    "FinGPT/fingpt-finred",
+    "FinGPT/fingpt-sentiment-cls",
+    "FinGPT/fingpt-ner-cls",
+    "FinGPT/fingpt-finred-re",
+    "FinGPT/fingpt-headline"
+]
+ds_list = []
+
+for ds_name in dataset_names:
+    ds = load_dataset(ds_name, split="train")
+    ds = ds.map(lambda x: {'source': ds_name}, num_proc=8)
+    ds_list.append(ds)
+
+ds_list
+```
+
+See [fingpt](https://huggingface.co/FinGPT) page for details.

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