---
dataset_info:
  features:
  - name: text1
    dtype: string
  - name: text2
    dtype: string
  - name: label
    dtype: float32
  splits:
  - name: train
    num_bytes: 214876315.2
    num_examples: 45044
  - name: test
    num_bytes: 53719078.8
    num_examples: 11261
  download_size: 153023068
  dataset_size: 268595394
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: apache-2.0
language:
- en
task_categories:
- sentence-similarity
- text-classification
tags:
- finance
- economics
size_categories:
- 10K<n<100K
---

# Dataset card

The dataset econo-pairs-v2 is the second version of "econo-pairs". This dataset is built on top of the "samchain/bis_central_bank_speeches"[https://huggingface.co./datasets/samchain/bis_central_bank_speeches] dataset.
It is made of pairs of sequences of 512 tokens. The pairs are built following this approach:
- If both sequences are coming from the same speech, the label is 1.0
- If the sequences are coming from two different speeches but from the same central bank, the label is 0.5
- If the sequences are coming from two different speeches and two different central banks, the label is 0.0

## Why a new version ? 
This dataset presents two improvements vs the prior:
- More data cleaning, especially we made our best effort to prevent having non-sense speeches or wrongly utf decoded characters
- A better nuance of similarity and dissimilarity as we introduce a middle ground with the 0.5 labels