ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_32_64_0.05_4_0.0002_5Epochs

---
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: test
num_bytes: 2785371
num_examples: 681
download_size: 318746
dataset_size: 2785371
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
---

This dataset is primarily used for natural language processing tasks, particularly Named Entity Recognition (NER) and related text analysis. It includes features such as sentences, entity information, original text, tokens, NER tags, etc., suitable for training and evaluating models on these tasks. The test split of the dataset contains 681 samples with a total size of 2785371 bytes.

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，包含以下子特征：
  • 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: 318746
• 数据集大小: 2785371

配置

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