ferrazzipietro/noLoraLS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_8_0.0002_3EpochsLast

该数据集主要用于自然语言处理中的命名实体识别任务，包含句子、实体、原始文本、原始ID、词元、NER标签、输入ID、注意力掩码、标签、预测和真实标签等特征。数据集仅包含一个测试集，包含681个样本。

This dataset is primarily designed for natural language processing tasks, particularly Named Entity Recognition (NER) and related text analysis. It includes multiple features such as sentence, entities list, original text, original ID, tokens, NER tags, input IDs, attention mask, labels, predictions, and ground truth labels. Each entity contains information such as ID, offsets, role, semantic type ID, text, and type. The dataset is divided into a test set with 681 examples, totaling 2785371 bytes. The dataset configuration is named default, and the test data files are located at data/test-* path.

原始信息汇总

数据集概述

数据集特征

• sentence (字符串类型)
• entities (列表类型)
  • id (字符串类型)
  • offsets (整数序列类型)
  • role (字符串类型)
  • semantic_type_id (字符串类型)
  • text (字符串类型)
  • type (字符串类型)
• original_text (字符串类型)
• original_id (字符串类型)
• tokens (字符串序列类型)
• ner_tags (整数序列类型)
• input_ids (整数序列类型)
• attention_mask (整数序列类型)
• labels (整数序列类型)
• predictions (字符串序列类型)
• ground_truth_labels (字符串序列类型)

数据集分割

• test
  • 字节数: 2785371
  • 示例数: 681

数据集大小

• 下载大小: 322517
• 数据集大小: 2785371

配置

• config_name: default
  • data_files
    • split: test
      • path: data/test-*