Datasets:
metadata
annotations_creators:
- LM-generated
language:
- ara
- cmn
- deu
- eng
- fra
- hin
- ita
- jpn
- kor
- por
- rus
- spa
- tha
license: mit
multilinguality: multilingual
source_datasets:
- Shitao/MLDR
task_categories:
- text-retrieval
task_ids: []
dataset_info:
- config_name: ar-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 386769015
num_examples: 7607
- name: test
num_bytes: 386769015
num_examples: 7607
- name: train
num_bytes: 386769015
num_examples: 7607
download_size: 534895929
dataset_size: 1160307045
- config_name: ar-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 6969
num_examples: 200
- name: test
num_bytes: 6974
num_examples: 200
- name: train
num_bytes: 65259
num_examples: 1817
download_size: 33443
dataset_size: 79202
- config_name: ar-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 28492
num_examples: 200
- name: test
num_bytes: 30631
num_examples: 200
- name: train
num_bytes: 212477
num_examples: 1817
download_size: 143212
dataset_size: 271600
- config_name: de-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 344004226
num_examples: 10000
- name: test
num_bytes: 344004226
num_examples: 10000
- name: train
num_bytes: 344004226
num_examples: 10000
download_size: 555089871
dataset_size: 1032012678
- config_name: de-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7008
num_examples: 200
- name: test
num_bytes: 7027
num_examples: 200
- name: train
num_bytes: 66600
num_examples: 1847
download_size: 33503
dataset_size: 80635
- config_name: de-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 34456
num_examples: 200
- name: test
num_bytes: 28282
num_examples: 200
- name: train
num_bytes: 214461
num_examples: 1847
download_size: 170305
dataset_size: 277199
- config_name: en-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 2682594809
num_examples: 200000
- name: test
num_bytes: 2682594809
num_examples: 200000
- name: train
num_bytes: 2682594809
num_examples: 200000
download_size: 4594187139
dataset_size: 8047784427
- config_name: en-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7181
num_examples: 200
- name: test
num_bytes: 28691
num_examples: 800
- name: train
num_bytes: 393432
num_examples: 10000
download_size: 185971
dataset_size: 429304
- config_name: en-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 19572
num_examples: 200
- name: test
num_bytes: 78352
num_examples: 800
- name: train
num_bytes: 841818
num_examples: 10000
download_size: 597834
dataset_size: 939742
- config_name: es-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 358147256
num_examples: 9551
- name: test
num_bytes: 358147256
num_examples: 9551
- name: train
num_bytes: 358147256
num_examples: 9551
download_size: 622078596
dataset_size: 1074441768
- config_name: es-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7052
num_examples: 200
- name: test
num_bytes: 7043
num_examples: 200
- name: train
num_bytes: 81217
num_examples: 2254
download_size: 39749
dataset_size: 95312
- config_name: es-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 28715
num_examples: 200
- name: test
num_bytes: 30510
num_examples: 200
- name: train
num_bytes: 266969
num_examples: 2254
download_size: 203245
dataset_size: 326194
- config_name: fr-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 372349757
num_examples: 10000
- name: test
num_bytes: 372349757
num_examples: 10000
- name: train
num_bytes: 372349757
num_examples: 10000
download_size: 632672880
dataset_size: 1117049271
- config_name: fr-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 6965
num_examples: 200
- name: test
num_bytes: 6948
num_examples: 200
- name: train
num_bytes: 57738
num_examples: 1608
download_size: 30332
dataset_size: 71651
- config_name: fr-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 32427
num_examples: 200
- name: test
num_bytes: 34009
num_examples: 200
- name: train
num_bytes: 185409
num_examples: 1608
download_size: 154745
dataset_size: 251845
- config_name: hi-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 176924210
num_examples: 3806
- name: test
num_bytes: 176924210
num_examples: 3806
- name: train
num_bytes: 176924210
num_examples: 3806
download_size: 197921196
dataset_size: 530772630
- config_name: hi-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 6961
num_examples: 200
- name: test
num_bytes: 6965
num_examples: 200
- name: train
num_bytes: 57611
num_examples: 1618
download_size: 30803
dataset_size: 71537
- config_name: hi-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 43230
num_examples: 200
- name: test
num_bytes: 53046
num_examples: 200
- name: train
num_bytes: 276825
num_examples: 1618
download_size: 159771
dataset_size: 373101
- config_name: it-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 369190678
num_examples: 10000
- name: test
num_bytes: 369190678
num_examples: 10000
- name: train
num_bytes: 369190678
num_examples: 10000
download_size: 654533061
dataset_size: 1107572034
- config_name: it-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7035
num_examples: 200
- name: test
num_bytes: 7050
num_examples: 200
- name: train
num_bytes: 77622
num_examples: 2151
download_size: 38148
dataset_size: 91707
- config_name: it-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 23323
num_examples: 200
- name: test
num_bytes: 26376
num_examples: 200
- name: train
num_bytes: 215019
num_examples: 2151
download_size: 164249
dataset_size: 264718
- config_name: ja-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 409592357
num_examples: 10000
- name: test
num_bytes: 409592357
num_examples: 10000
- name: train
num_bytes: 409592357
num_examples: 10000
download_size: 672984441
dataset_size: 1228777071
- config_name: ja-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7010
num_examples: 200
- name: test
num_bytes: 7009
num_examples: 200
- name: train
num_bytes: 81846
num_examples: 2262
download_size: 39565
dataset_size: 95865
- config_name: ja-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 39443
num_examples: 200
- name: test
num_bytes: 36010
num_examples: 200
- name: train
num_bytes: 353400
num_examples: 2262
download_size: 240058
dataset_size: 428853
- config_name: ko-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 191810356
num_examples: 6176
- name: test
num_bytes: 191810356
num_examples: 6176
- name: train
num_bytes: 191810356
num_examples: 6176
download_size: 317514993
dataset_size: 575431068
- config_name: ko-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7004
num_examples: 200
- name: test
num_bytes: 7011
num_examples: 200
- name: train
num_bytes: 79137
num_examples: 2198
download_size: 38968
dataset_size: 93152
- config_name: ko-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 31591
num_examples: 200
- name: test
num_bytes: 31594
num_examples: 200
- name: train
num_bytes: 315282
num_examples: 2198
download_size: 221933
dataset_size: 378467
- config_name: pt-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 216954388
num_examples: 6569
- name: test
num_bytes: 216954388
num_examples: 6569
- name: train
num_bytes: 216954388
num_examples: 6569
download_size: 379705149
dataset_size: 650863164
- config_name: pt-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7024
num_examples: 200
- name: test
num_bytes: 6998
num_examples: 200
- name: train
num_bytes: 66017
num_examples: 1845
download_size: 33771
dataset_size: 80039
- config_name: pt-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 28541
num_examples: 200
- name: test
num_bytes: 26714
num_examples: 200
- name: train
num_bytes: 204222
num_examples: 1845
download_size: 163866
dataset_size: 259477
- config_name: ru-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 646016885
num_examples: 10000
- name: test
num_bytes: 646016885
num_examples: 10000
- name: train
num_bytes: 646016885
num_examples: 10000
download_size: 931111128
dataset_size: 1938050655
- config_name: ru-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7025
num_examples: 200
- name: test
num_bytes: 7039
num_examples: 200
- name: train
num_bytes: 67000
num_examples: 1864
download_size: 33958
dataset_size: 81064
- config_name: ru-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 35654
num_examples: 200
- name: test
num_bytes: 38104
num_examples: 200
- name: train
num_bytes: 301583
num_examples: 1864
download_size: 195038
dataset_size: 375341
- config_name: th-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 519428800
num_examples: 10000
- name: test
num_bytes: 519428800
num_examples: 10000
- name: train
num_bytes: 519428800
num_examples: 10000
download_size: 514641690
dataset_size: 1558286400
- config_name: th-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 6979
num_examples: 200
- name: test
num_bytes: 6961
num_examples: 200
- name: train
num_bytes: 71232
num_examples: 1970
download_size: 35114
dataset_size: 85172
- config_name: th-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 55835
num_examples: 200
- name: test
num_bytes: 51993
num_examples: 200
- name: train
num_bytes: 459312
num_examples: 1970
download_size: 251625
dataset_size: 567140
- config_name: zh-corpus
features:
- name: id
dtype: string
- name: text
dtype: string
- name: title
dtype: string
splits:
- name: dev
num_bytes: 3246688679
num_examples: 200000
- name: test
num_bytes: 3246688679
num_examples: 200000
- name: train
num_bytes: 3246688679
num_examples: 200000
download_size: 6131608170
dataset_size: 9740066037
- config_name: zh-qrels
features:
- name: query-id
dtype: string
- name: corpus-id
dtype: string
- name: score
dtype: int64
splits:
- name: dev
num_bytes: 7216
num_examples: 200
- name: test
num_bytes: 28915
num_examples: 800
- name: train
num_bytes: 400727
num_examples: 10000
download_size: 190005
dataset_size: 436858
- config_name: zh-queries
features:
- name: id
dtype: string
- name: text
dtype: string
splits:
- name: dev
num_bytes: 18002
num_examples: 200
- name: test
num_bytes: 69672
num_examples: 800
- name: train
num_bytes: 776396
num_examples: 10000
download_size: 620311
dataset_size: 864070
configs:
- config_name: ar-corpus
data_files:
- split: dev
path: ar-corpus/dev-*
- split: test
path: ar-corpus/test-*
- split: train
path: ar-corpus/train-*
- config_name: ar-qrels
data_files:
- split: dev
path: ar-qrels/dev-*
- split: test
path: ar-qrels/test-*
- split: train
path: ar-qrels/train-*
- config_name: ar-queries
data_files:
- split: dev
path: ar-queries/dev-*
- split: test
path: ar-queries/test-*
- split: train
path: ar-queries/train-*
- config_name: de-corpus
data_files:
- split: dev
path: de-corpus/dev-*
- split: test
path: de-corpus/test-*
- split: train
path: de-corpus/train-*
- config_name: de-qrels
data_files:
- split: dev
path: de-qrels/dev-*
- split: test
path: de-qrels/test-*
- split: train
path: de-qrels/train-*
- config_name: de-queries
data_files:
- split: dev
path: de-queries/dev-*
- split: test
path: de-queries/test-*
- split: train
path: de-queries/train-*
- config_name: en-corpus
data_files:
- split: dev
path: en-corpus/dev-*
- split: test
path: en-corpus/test-*
- split: train
path: en-corpus/train-*
- config_name: en-qrels
data_files:
- split: dev
path: en-qrels/dev-*
- split: test
path: en-qrels/test-*
- split: train
path: en-qrels/train-*
- config_name: en-queries
data_files:
- split: dev
path: en-queries/dev-*
- split: test
path: en-queries/test-*
- split: train
path: en-queries/train-*
- config_name: es-corpus
data_files:
- split: dev
path: es-corpus/dev-*
- split: test
path: es-corpus/test-*
- split: train
path: es-corpus/train-*
- config_name: es-qrels
data_files:
- split: dev
path: es-qrels/dev-*
- split: test
path: es-qrels/test-*
- split: train
path: es-qrels/train-*
- config_name: es-queries
data_files:
- split: dev
path: es-queries/dev-*
- split: test
path: es-queries/test-*
- split: train
path: es-queries/train-*
- config_name: fr-corpus
data_files:
- split: dev
path: fr-corpus/dev-*
- split: test
path: fr-corpus/test-*
- split: train
path: fr-corpus/train-*
- config_name: fr-qrels
data_files:
- split: dev
path: fr-qrels/dev-*
- split: test
path: fr-qrels/test-*
- split: train
path: fr-qrels/train-*
- config_name: fr-queries
data_files:
- split: dev
path: fr-queries/dev-*
- split: test
path: fr-queries/test-*
- split: train
path: fr-queries/train-*
- config_name: hi-corpus
data_files:
- split: dev
path: hi-corpus/dev-*
- split: test
path: hi-corpus/test-*
- split: train
path: hi-corpus/train-*
- config_name: hi-qrels
data_files:
- split: dev
path: hi-qrels/dev-*
- split: test
path: hi-qrels/test-*
- split: train
path: hi-qrels/train-*
- config_name: hi-queries
data_files:
- split: dev
path: hi-queries/dev-*
- split: test
path: hi-queries/test-*
- split: train
path: hi-queries/train-*
- config_name: it-corpus
data_files:
- split: dev
path: it-corpus/dev-*
- split: test
path: it-corpus/test-*
- split: train
path: it-corpus/train-*
- config_name: it-qrels
data_files:
- split: dev
path: it-qrels/dev-*
- split: test
path: it-qrels/test-*
- split: train
path: it-qrels/train-*
- config_name: it-queries
data_files:
- split: dev
path: it-queries/dev-*
- split: test
path: it-queries/test-*
- split: train
path: it-queries/train-*
- config_name: ja-corpus
data_files:
- split: dev
path: ja-corpus/dev-*
- split: test
path: ja-corpus/test-*
- split: train
path: ja-corpus/train-*
- config_name: ja-qrels
data_files:
- split: dev
path: ja-qrels/dev-*
- split: test
path: ja-qrels/test-*
- split: train
path: ja-qrels/train-*
- config_name: ja-queries
data_files:
- split: dev
path: ja-queries/dev-*
- split: test
path: ja-queries/test-*
- split: train
path: ja-queries/train-*
- config_name: ko-corpus
data_files:
- split: dev
path: ko-corpus/dev-*
- split: test
path: ko-corpus/test-*
- split: train
path: ko-corpus/train-*
- config_name: ko-qrels
data_files:
- split: dev
path: ko-qrels/dev-*
- split: test
path: ko-qrels/test-*
- split: train
path: ko-qrels/train-*
- config_name: ko-queries
data_files:
- split: dev
path: ko-queries/dev-*
- split: test
path: ko-queries/test-*
- split: train
path: ko-queries/train-*
- config_name: pt-corpus
data_files:
- split: dev
path: pt-corpus/dev-*
- split: test
path: pt-corpus/test-*
- split: train
path: pt-corpus/train-*
- config_name: pt-qrels
data_files:
- split: dev
path: pt-qrels/dev-*
- split: test
path: pt-qrels/test-*
- split: train
path: pt-qrels/train-*
- config_name: pt-queries
data_files:
- split: dev
path: pt-queries/dev-*
- split: test
path: pt-queries/test-*
- split: train
path: pt-queries/train-*
- config_name: ru-corpus
data_files:
- split: dev
path: ru-corpus/dev-*
- split: test
path: ru-corpus/test-*
- split: train
path: ru-corpus/train-*
- config_name: ru-qrels
data_files:
- split: dev
path: ru-qrels/dev-*
- split: test
path: ru-qrels/test-*
- split: train
path: ru-qrels/train-*
- config_name: ru-queries
data_files:
- split: dev
path: ru-queries/dev-*
- split: test
path: ru-queries/test-*
- split: train
path: ru-queries/train-*
- config_name: th-corpus
data_files:
- split: dev
path: th-corpus/dev-*
- split: test
path: th-corpus/test-*
- split: train
path: th-corpus/train-*
- config_name: th-qrels
data_files:
- split: dev
path: th-qrels/dev-*
- split: test
path: th-qrels/test-*
- split: train
path: th-qrels/train-*
- config_name: th-queries
data_files:
- split: dev
path: th-queries/dev-*
- split: test
path: th-queries/test-*
- split: train
path: th-queries/train-*
- config_name: zh-corpus
data_files:
- split: dev
path: zh-corpus/dev-*
- split: test
path: zh-corpus/test-*
- split: train
path: zh-corpus/train-*
- config_name: zh-qrels
data_files:
- split: dev
path: zh-qrels/dev-*
- split: test
path: zh-qrels/test-*
- split: train
path: zh-qrels/train-*
- config_name: zh-queries
data_files:
- split: dev
path: zh-queries/dev-*
- split: test
path: zh-queries/test-*
- split: train
path: zh-queries/train-*
tags:
- mteb
- text
Multi Long Doc Retrieval (MLDR) 'is curated by the multilingual articles from Wikipedia, Wudao and mC4 (see Table 7), and NarrativeQA (Kocˇisky ́ et al., 2018; Gu ̈nther et al., 2023), which is only for English.' (Chen et al., 2024). It is constructed by sampling lengthy articles from Wikipedia, Wudao and mC4 datasets and randomly choose paragraphs from them. Then we use GPT-3.5 to generate questions based on these paragraphs. The generated question and the sampled article constitute a new text pair to the dataset.
| Task category | t2t |
| Domains | Encyclopaedic, Written, Web, Non-fiction, Fiction |
| Reference | https://arxiv.org/abs/2402.03216 |
Source datasets:
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_task("MultiLongDocRetrieval")
evaluator = mteb.MTEB([task])
model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)
To learn more about how to run models on mteb task check out the GitHub repository.
Citation
If you use this dataset, please cite the dataset as well as mteb, as this dataset likely includes additional processing as a part of the MMTEB Contribution.
@misc{bge-m3,
archiveprefix = {arXiv},
author = {Jianlv Chen and Shitao Xiao and Peitian Zhang and Kun Luo and Defu Lian and Zheng Liu},
eprint = {2402.03216},
primaryclass = {cs.CL},
title = {BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation},
year = {2024},
}
@article{enevoldsen2025mmtebmassivemultilingualtext,
title={MMTEB: Massive Multilingual Text Embedding Benchmark},
author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kiran GV and Shawon Ashraf and Daniel Auras and Björn Plüster and Jan Philipp Harries and Loïc Magne and Isabelle Mohr and Mariya Hendriksen and Dawei Zhu and Hippolyte Gisserot-Boukhlef and Tom Aarsen and Jan Kostkan and Konrad Wojtasik and Taemin Lee and Marek Šuppa and Crystina Zhang and Roberta Rocca and Mohammed Hamdy and Andrianos Michail and John Yang and Manuel Faysse and Aleksei Vatolin and Nandan Thakur and Manan Dey and Dipam Vasani and Pranjal Chitale and Simone Tedeschi and Nguyen Tai and Artem Snegirev and Michael Günther and Mengzhou Xia and Weijia Shi and Xing Han Lù and Jordan Clive and Gayatri Krishnakumar and Anna Maksimova and Silvan Wehrli and Maria Tikhonova and Henil Panchal and Aleksandr Abramov and Malte Ostendorff and Zheng Liu and Simon Clematide and Lester James Miranda and Alena Fenogenova and Guangyu Song and Ruqiya Bin Safi and Wen-Ding Li and Alessia Borghini and Federico Cassano and Hongjin Su and Jimmy Lin and Howard Yen and Lasse Hansen and Sara Hooker and Chenghao Xiao and Vaibhav Adlakha and Orion Weller and Siva Reddy and Niklas Muennighoff},
publisher = {arXiv},
journal={arXiv preprint arXiv:2502.13595},
year={2025},
url={https://arxiv.org/abs/2502.13595},
doi = {10.48550/arXiv.2502.13595},
}
@article{muennighoff2022mteb,
author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Loïc and Reimers, Nils},
title = {MTEB: Massive Text Embedding Benchmark},
publisher = {arXiv},
journal={arXiv preprint arXiv:2210.07316},
year = {2022}
url = {https://arxiv.org/abs/2210.07316},
doi = {10.48550/ARXIV.2210.07316},
}
Dataset Statistics
Dataset Statistics
The following code contains the descriptive statistics from the task. These can also be obtained using:
import mteb
task = mteb.get_task("MultiLongDocRetrieval")
desc_stats = task.metadata.descriptive_stats
{}
This dataset card was automatically generated using MTEB