avsolatorio/mteb-mtop_intent-avs_triplets
收藏Hugging Face2024-02-28 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/avsolatorio/mteb-mtop_intent-avs_triplets
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资源简介：
---
dataset_info:
features:
- name: id
dtype: int64
- name: text
dtype: string
- name: label
dtype: int32
- name: label_text
dtype: string
- name: idx
dtype: int64
- name: query_idx
dtype: int64
- name: positive_idx
dtype: int64
- name: negative_idx
dtype: int64
splits:
- name: train
num_bytes: 1591427
num_examples: 15667
download_size: 941488
dataset_size: 1591427
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# MTEB MTOP Intent Triplets Dataset
This dataset was used in the paper GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning. Refer to https://arxiv.org/abs/2402.16829 for details.
The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed/blob/main/scripts/create_classification_dataset.py.
## Citation
```
@article{solatorio2024gistembed,
title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},
author={Aivin V. Solatorio},
journal={arXiv preprint arXiv:2402.16829},
year={2024},
URL={https://arxiv.org/abs/2402.16829}
eprint={2402.16829},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
```
提供机构：
avsolatorio
原始信息汇总
MTEB MTOP Intent Triplets Dataset
数据集信息
特征
- id: 数据类型为
int64 - text: 数据类型为
string - label: 数据类型为
int32 - label_text: 数据类型为
string - idx: 数据类型为
int64 - query_idx: 数据类型为
int64 - positive_idx: 数据类型为
int64 - negative_idx: 数据类型为
int64
数据分割
- train: 包含 15667 个样本，总大小为 1591427 字节
数据大小
- 下载大小: 941488 字节
- 数据集大小: 1591427 字节
配置
- default: 数据文件路径为
data/train-*
