ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_64_64_0.01_8_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: 318181
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 predictions. It includes sentences and their associated entity information such as entity ID, offset positions, role, semantic type, text, and type. Additionally, the dataset provides original text, original ID, tokens, NER tags, input IDs, attention masks, labels, predictions, and ground truth labels. The dataset is divided into a test set containing 681 samples with a total size of 2785371 bytes. The download size of the dataset is 318181 bytes.

原始信息汇总

数据集概述

数据特征

• sentence: 类型为字符串。
• entities: 列表类型，包含以下子特征：
  • id: 类型为字符串。
  • offsets: 整数序列。
  • role: 类型为字符串。
  • semantic_type_id: 类型为字符串。
  • text: 类型为字符串。
  • type: 类型为字符串。
• original_text: 类型为字符串。
• original_id: 类型为字符串。
• tokens: 字符串序列。
• ner_tags: 整数序列。
• input_ids: 32位整数序列。
• attention_mask: 8位整数序列。
• labels: 整数序列。
• predictions: 字符串序列。
• ground_truth_labels: 字符串序列。

数据分割

• test: 包含681个样本，占用2785371字节。

数据集大小

• 下载大小: 318181字节。
• 数据集大小: 2785371字节。

配置

• default: 包含测试数据文件，路径为data/test-*。