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Update README.md (#1)
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---
dataset_info:
features:
- name: query_id
dtype: int64
- name: pos_id
dtype: int64
- name: neg_ids
sequence: int64
- name: pos_score
dtype: float64
- name: neg_scores
sequence: float64
splits:
- name: M3_full_logits
num_bytes: 1689600000
num_examples: 3200000
- name: M3_full_normalized
num_bytes: 1689600000
num_examples: 3200000
- name: M3_320k_normalized
num_bytes: 168960000
num_examples: 320000
- name: monot5_320k_normalized
num_bytes: 168960000
num_examples: 320000
- name: jpbase_320k_normalized
num_bytes: 168960000
num_examples: 320000
- name: jplarge_320k_normalized
num_bytes: 168960000
num_examples: 320000
- name: jpsmall_320k_normalized
num_bytes: 168960000
num_examples: 320000
- name: colbertv2_320k_normalized
num_bytes: 168960000
num_examples: 320000
- name: M3jp_320k_normalized
num_bytes: 168960000
num_examples: 320000
download_size: 3889910104
dataset_size: 4561920000
configs:
- config_name: default
data_files:
- split: M3_full_logits
path: data/M3_full_logits-*
- split: M3_full_normalized
path: data/M3_full_normalized-*
- split: M3_320k_normalized
path: data/M3_320k_normalized-*
- split: monot5_320k_normalized
path: data/monot5_320k_normalized-*
- split: jpbase_320k_normalized
path: data/jpbase_320k_normalized-*
- split: jplarge_320k_normalized
path: data/jplarge_320k_normalized-*
- split: jpsmall_320k_normalized
path: data/jpsmall_320k_normalized-*
- split: colbertv2_320k_normalized
path: data/colbertv2_320k_normalized-*
- split: M3jp_320k_normalized
path: data/M3jp_320k_normalized-*
---
```
@misc{clavié2024jacolbertv25optimisingmultivectorretrievers,
title={JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources},
author={Benjamin Clavié},
year={2024},
eprint={2407.20750},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2407.20750},
}
```