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Josephgflowers
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Financial-NER-NLP

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Josephgflowers commited on Aug 12, 2024

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@@ -17,7 +17,6 @@ The Financial-NER-NLP Dataset retains the financial domain’s specificity, focu
 Key Features:
     Natural Language Formatting: The dataset converts the original structured annotations into conversational prompts, making it suitable for training in a question-answering or dialogue-based format.
-    Multiple Formats: Available in TXT, JSONL, and CSV formats for ease of use in various machine learning pipelines.
     Retains Financial Domain Focus: Preserves the emphasis on context-based tagging of numeric tokens, critical for financial document processing.
 Supported Tasks

 Key Features:
     Natural Language Formatting: The dataset converts the original structured annotations into conversational prompts, making it suitable for training in a question-answering or dialogue-based format.
     Retains Financial Domain Focus: Preserves the emphasis on context-based tagging of numeric tokens, critical for financial document processing.
 Supported Tasks