ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_64_32_0.05_8_0.0002_3Epochs

---
dataset_info:
features:
- name: sentence
dtype: string
- name: entities
list:
- name: id
dtype: string
- name: offsets
sequence: int64
- name: role
dtype: string
- name: semantic_type_id
dtype: string
- name: text
dtype: string
- name: type
dtype: string
- name: original_text
dtype: string
- name: original_id
dtype: string
- name: tokens
sequence: string
- name: ner_tags
sequence: int64
- name: input_ids
sequence: int32
- name: attention_mask
sequence: int8
- name: labels
sequence: int64
- name: predictions
sequence: string
- name: ground_truth_labels
sequence: string
splits:
- name: train
num_bytes: 2785371
num_examples: 681
download_size: 322491
dataset_size: 2785371
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

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, original text, original ID, tokens, NER tags, input IDs, attention masks, labels, predictions, and ground truth labels. Each feature has its specific data type and structure. The dataset is divided into a training set with 681 examples, occupying 2785371 bytes. The dataset configuration is named default, with data files located at data/train-*.

原始信息汇总

数据集概述

数据集特征

• sentence：文本类型
• entities：列表类型，包含以下子特征：
  • id：文本类型
  • offsets：整数序列类型
  • role：文本类型
  • semantic_type_id：文本类型
  • text：文本类型
  • type：文本类型
• original_text：文本类型
• original_id：文本类型
• tokens：字符序列类型
• ner_tags：整数序列类型
• input_ids：整数序列类型
• attention_mask：字节序列类型
• labels：整数序列类型
• predictions：字符序列类型
• ground_truth_labels：字符序列类型

数据集分割

• train：
  • 数据大小：2785371字节
  • 示例数量：681

数据集大小

• 下载大小：322491字节
• 数据集总大小：2785371字节

配置

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