---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
- config_name: embedding_all-MiniLM-L12-v2
  data_files:
  - split: train
    path: embedding_all-MiniLM-L12-v2/train-*
  - split: test
    path: embedding_all-MiniLM-L12-v2/test-*
- config_name: embedding_all-mpnet-base-v2
  data_files:
  - split: train
    path: embedding_all-mpnet-base-v2/train-*
  - split: test
    path: embedding_all-mpnet-base-v2/test-*
- config_name: embedding_multi-qa-mpnet-base-dot-v1
  data_files:
  - split: train
    path: embedding_multi-qa-mpnet-base-dot-v1/train-*
  - split: test
    path: embedding_multi-qa-mpnet-base-dot-v1/test-*
- config_name: labels
  data_files:
  - split: train
    path: labels/train-*
dataset_info:
- config_name: default
  features:
  - name: uid_original
    dtype: string
  - name: title
    dtype: string
  - name: content
    dtype: string
  - name: target_ind
    sequence: int64
  - name: target_rel
    sequence: float64
  - name: text
    dtype: string
  - name: uid
    dtype: int64
  splits:
  - name: train
    num_bytes: 3262662835
    num_examples: 1186239
  - name: test
    num_bytes: 842174854
    num_examples: 306782
  download_size: 2560646204
  dataset_size: 4104837689
- config_name: embedding_all-MiniLM-L12-v2
  features:
  - name: uid
    dtype: int64
  - name: embedding_all-MiniLM-L12-v2
    sequence: float32
  splits:
  - name: train
    num_bytes: 1836297972
    num_examples: 1186239
  - name: test
    num_bytes: 474898536
    num_examples: 306782
  download_size: 3228756828
  dataset_size: 2311196508
- config_name: embedding_all-mpnet-base-v2
  features:
  - name: uid
    dtype: int64
  - name: embedding_all-mpnet-base-v2
    sequence: float32
  splits:
  - name: train
    num_bytes: 3658361076
    num_examples: 1186239
  - name: test
    num_bytes: 946115688
    num_examples: 306782
  download_size: 5524926640
  dataset_size: 4604476764
- config_name: embedding_multi-qa-mpnet-base-dot-v1
  features:
  - name: uid
    dtype: int64
  - name: embedding_multi-qa-mpnet-base-dot-v1
    sequence: float32
  splits:
  - name: train
    num_bytes: 3658361076
    num_examples: 1186239
  - name: test
    num_bytes: 946115688
    num_examples: 306782
  download_size: 5524904909
  dataset_size: 4604476764
- config_name: labels
  features:
  - name: labels
    dtype: string
  splits:
  - name: train
    num_bytes: 243277
    num_examples: 13331
  download_size: 160461
  dataset_size: 243277
---

This dataset has been created as an artefact of the paper [AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets (Lesci and Vlachos, 2024)](https://arxiv.org/abs/2404.05623).
More info about this dataset in the appendix of the paper.

The AmazonCat-13k dataset was released by [McAuley and Leskovec (2013)](https://dl.acm.org/doi/pdf/10.1145/2507157.2507163)
and is composed of product descriptions and reviews classified into 13k multi-label categories.
The dataset is split into 1.2M train and 300k evaluation instances. 
It is commonly used as an [extreme classification benchmark](http://manikvarma.org/downloads/XC/XMLRepository.html) 
[(You et al., 2019)](https://proceedings.neurips.cc/paper_files/paper/2019/file/9e6a921fbc428b5638b3986e365d4f21-Paper.pdf) where the goal is to classify an item into its categories.
The data are exactly the same as the original available at [this Google Drive link](https://drive.google.com/u/0/uc?id=17rVRDarPwlMpb3l5zof9h34FlwbpTu4l)
with the following additions:

1. A unique identifier, `uid` column.
   
1. Indices, that is, 3 columns with the embeddings of 3 different sentence-transformers
   - `all-mpnet-base-v2`
   - `multi-qa-mpnet-base-dot-v1`
   - `all-MiniLM-L12-v2`

1. Renaming of the `label` column to `labels` for easier compatibility with the transformers library.