diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000000000000000000000000000000000000..55cab133643a2a73e083373d2106533678d0edd5
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,58 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..7e223a313b50914516a10caae8a6d75597c89988
--- /dev/null
+++ b/README.md
@@ -0,0 +1,959 @@
+---
+annotations_creators:
+- human-annotated
+language:
+- ara
+- ben
+- eng
+- fin
+- ind
+- jpn
+- kor
+- rus
+- swa
+- tel
+- tha
+license: cc-by-sa-3.0
+multilinguality: multilingual
+task_categories:
+- text-retrieval
+task_ids: []
+dataset_info:
+- config_name: arabic-corpus
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+  - name: text
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+  download_size: 562700591
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+- config_name: arabic-qrels
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+  - name: corpus-id
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+  - name: score
+    dtype: int64
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+  - name: test
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+    num_examples: 1257
+  download_size: 3781951
+  dataset_size: 10916558
+- config_name: arabic-queries
+  features:
+  - name: _id
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+  - name: text
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+  download_size: 621343
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+- config_name: bengali-corpus
+  features:
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+- config_name: bengali-queries
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+  - name: text
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+  download_size: 135025
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+- config_name: english-corpus
+  features:
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+  - name: title
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+  - name: text
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+- config_name: english-queries
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+  - name: text
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+- config_name: finnish-corpus
+  features:
+  - name: _id
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+  - name: title
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+  - name: text
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+- config_name: finnish-qrels
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+  - name: query-id
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+  - name: corpus-id
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+  - name: score
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+- config_name: finnish-queries
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+  - name: text
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+  - name: test
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+  download_size: 335034
+  dataset_size: 489540
+- config_name: indonesian-corpus
+  features:
+  - name: _id
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+  - name: title
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+  - name: text
+    dtype: string
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+- config_name: indonesian-qrels
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+- config_name: indonesian-queries
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+- config_name: japanese-corpus
+  features:
+  - name: _id
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+  - name: title
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+  - name: text
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+  dataset_size: 3006850763.859045
+- config_name: japanese-qrels
+  features:
+  - name: query-id
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+  - name: corpus-id
+    dtype: string
+  - name: score
+    dtype: int64
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+- config_name: japanese-queries
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+  - name: _id
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+  - name: text
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+- config_name: korean-corpus
+  features:
+  - name: _id
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+  - name: title
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+  - name: text
+    dtype: string
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+- config_name: korean-qrels
+  features:
+  - name: query-id
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+  - name: corpus-id
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+  - name: score
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+  dataset_size: 1104651
+- config_name: korean-queries
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+  - name: text
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+    num_examples: 421
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+- config_name: russian-corpus
+  features:
+  - name: _id
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+  - name: title
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+  - name: text
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+  dataset_size: 5965881322
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+  - name: _id
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+  - name: text
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+- config_name: swahili-corpus
+  features:
+  - name: _id
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+  - name: title
+    dtype: string
+  - name: text
+    dtype: string
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+  features:
+  - name: query-id
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+  - name: corpus-id
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+  - name: score
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+  download_size: 549763
+  dataset_size: 1725867
+- config_name: swahili-queries
+  features:
+  - name: _id
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+  - name: text
+    dtype: string
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+    num_examples: 670
+  download_size: 100853
+  dataset_size: 168216
+- config_name: telugu-corpus
+  features:
+  - name: _id
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+  - name: title
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+  - name: text
+    dtype: string
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+  dataset_size: 563646332
+- config_name: telugu-qrels
+  features:
+  - name: query-id
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+  - name: corpus-id
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+  - name: score
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+  - name: test
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+    num_examples: 677
+  download_size: 964408
+  dataset_size: 3294809
+- config_name: telugu-queries
+  features:
+  - name: _id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
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+  - name: test
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+    num_examples: 646
+  download_size: 253930
+  dataset_size: 632967
+- config_name: thai-corpus
+  features:
+  - name: _id
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+  - name: title
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+  - name: text
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+  - name: test
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+  - name: train
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+    num_examples: 568855
+  download_size: 845293048
+  dataset_size: 1723891053
+- config_name: thai-qrels
+  features:
+  - name: query-id
+    dtype: string
+  - name: corpus-id
+    dtype: string
+  - name: score
+    dtype: int64
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+    num_examples: 817
+  - name: test
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+    num_examples: 1368
+  download_size: 934865
+  dataset_size: 2834846
+- config_name: thai-queries
+  features:
+  - name: _id
+    dtype: string
+  - name: text
+    dtype: string
+  splits:
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+  - name: test
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+    num_examples: 1190
+  download_size: 320820
+  dataset_size: 710798
+configs:
+- config_name: arabic-corpus
+  data_files:
+  - split: train
+    path: arabic-corpus/train-*
+- config_name: arabic-qrels
+  data_files:
+  - split: train
+    path: arabic-qrels/train-*
+  - split: dev
+    path: arabic-qrels/dev-*
+  - split: test
+    path: arabic-qrels/test-*
+- config_name: arabic-queries
+  data_files:
+  - split: train
+    path: arabic-queries/train-*
+  - split: dev
+    path: arabic-queries/dev-*
+  - split: test
+    path: arabic-queries/test-*
+- config_name: bengali-corpus
+  data_files:
+  - split: train
+    path: bengali-corpus/train-*
+- config_name: bengali-qrels
+  data_files:
+  - split: train
+    path: bengali-qrels/train-*
+  - split: dev
+    path: bengali-qrels/dev-*
+  - split: test
+    path: bengali-qrels/test-*
+- config_name: bengali-queries
+  data_files:
+  - split: train
+    path: bengali-queries/train-*
+  - split: dev
+    path: bengali-queries/dev-*
+  - split: test
+    path: bengali-queries/test-*
+- config_name: english-corpus
+  data_files:
+  - split: train
+    path: english-corpus/train-*
+- config_name: english-qrels
+  data_files:
+  - split: train
+    path: english-qrels/train-*
+  - split: dev
+    path: english-qrels/dev-*
+  - split: test
+    path: english-qrels/test-*
+- config_name: english-queries
+  data_files:
+  - split: train
+    path: english-queries/train-*
+  - split: dev
+    path: english-queries/dev-*
+  - split: test
+    path: english-queries/test-*
+- config_name: finnish-corpus
+  data_files:
+  - split: train
+    path: finnish-corpus/train-*
+- config_name: finnish-qrels
+  data_files:
+  - split: train
+    path: finnish-qrels/train-*
+  - split: dev
+    path: finnish-qrels/dev-*
+  - split: test
+    path: finnish-qrels/test-*
+- config_name: finnish-queries
+  data_files:
+  - split: train
+    path: finnish-queries/train-*
+  - split: dev
+    path: finnish-queries/dev-*
+  - split: test
+    path: finnish-queries/test-*
+- config_name: indonesian-corpus
+  data_files:
+  - split: train
+    path: indonesian-corpus/train-*
+- config_name: indonesian-qrels
+  data_files:
+  - split: train
+    path: indonesian-qrels/train-*
+  - split: dev
+    path: indonesian-qrels/dev-*
+  - split: test
+    path: indonesian-qrels/test-*
+- config_name: indonesian-queries
+  data_files:
+  - split: train
+    path: indonesian-queries/train-*
+  - split: dev
+    path: indonesian-queries/dev-*
+  - split: test
+    path: indonesian-queries/test-*
+- config_name: japanese-corpus
+  data_files:
+  - split: train
+    path: japanese-corpus/train-*
+  - split: dev
+    path: japanese-corpus/dev-*
+  - split: test
+    path: japanese-corpus/test-*
+- config_name: japanese-qrels
+  data_files:
+  - split: train
+    path: japanese-qrels/train-*
+  - split: dev
+    path: japanese-qrels/dev-*
+  - split: test
+    path: japanese-qrels/test-*
+- config_name: japanese-queries
+  data_files:
+  - split: train
+    path: japanese-queries/train-*
+  - split: dev
+    path: japanese-queries/dev-*
+  - split: test
+    path: japanese-queries/test-*
+- config_name: korean-corpus
+  data_files:
+  - split: train
+    path: korean-corpus/train-*
+- config_name: korean-qrels
+  data_files:
+  - split: train
+    path: korean-qrels/train-*
+  - split: dev
+    path: korean-qrels/dev-*
+  - split: test
+    path: korean-qrels/test-*
+- config_name: korean-queries
+  data_files:
+  - split: train
+    path: korean-queries/train-*
+  - split: dev
+    path: korean-queries/dev-*
+  - split: test
+    path: korean-queries/test-*
+- config_name: russian-corpus
+  data_files:
+  - split: train
+    path: russian-corpus/train-*
+- config_name: russian-qrels
+  data_files:
+  - split: train
+    path: russian-qrels/train-*
+  - split: dev
+    path: russian-qrels/dev-*
+  - split: test
+    path: russian-qrels/test-*
+- config_name: russian-queries
+  data_files:
+  - split: train
+    path: russian-queries/train-*
+  - split: dev
+    path: russian-queries/dev-*
+  - split: test
+    path: russian-queries/test-*
+- config_name: swahili-corpus
+  data_files:
+  - split: train
+    path: swahili-corpus/train-*
+- config_name: swahili-qrels
+  data_files:
+  - split: train
+    path: swahili-qrels/train-*
+  - split: dev
+    path: swahili-qrels/dev-*
+  - split: test
+    path: swahili-qrels/test-*
+- config_name: swahili-queries
+  data_files:
+  - split: train
+    path: swahili-queries/train-*
+  - split: dev
+    path: swahili-queries/dev-*
+  - split: test
+    path: swahili-queries/test-*
+- config_name: telugu-corpus
+  data_files:
+  - split: train
+    path: telugu-corpus/train-*
+- config_name: telugu-qrels
+  data_files:
+  - split: train
+    path: telugu-qrels/train-*
+  - split: dev
+    path: telugu-qrels/dev-*
+  - split: test
+    path: telugu-qrels/test-*
+- config_name: telugu-queries
+  data_files:
+  - split: train
+    path: telugu-queries/train-*
+  - split: dev
+    path: telugu-queries/dev-*
+  - split: test
+    path: telugu-queries/test-*
+- config_name: thai-corpus
+  data_files:
+  - split: train
+    path: thai-corpus/train-*
+  - split: dev
+    path: thai-corpus/dev-*
+  - split: test
+    path: thai-corpus/test-*
+- config_name: thai-qrels
+  data_files:
+  - split: train
+    path: thai-qrels/train-*
+  - split: dev
+    path: thai-qrels/dev-*
+  - split: test
+    path: thai-qrels/test-*
+- config_name: thai-queries
+  data_files:
+  - split: train
+    path: thai-queries/train-*
+  - split: dev
+    path: thai-queries/dev-*
+  - split: test
+    path: thai-queries/test-*
+tags:
+- mteb
+- text
+---
+<!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->
+
+<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">
+  <h1 style="font-size: 3.5rem; color: #1a1a1a; margin: 0 0 20px 0; letter-spacing: 2px; font-weight: 700;">MrTidyRetrieval</h1>
+  <div style="font-size: 1.5rem; color: #4a4a4a; margin-bottom: 5px; font-weight: 300;">An <a href="https://github.com/embeddings-benchmark/mteb" style="color: #2c5282; font-weight: 600; text-decoration: none;" onmouseover="this.style.textDecoration='underline'" onmouseout="this.style.textDecoration='none'">MTEB</a> dataset</div>
+  <div style="font-size: 0.9rem; color: #2c5282; margin-top: 10px;">Massive Text Embedding Benchmark</div>
+</div>
+
+Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages. It is designed for monolingual retrieval, specifically to evaluate ranking with learned dense representations.
+
+|               |                                             |
+|---------------|---------------------------------------------|
+| Task category | t2t                              |
+| Domains       | Encyclopaedic, Written                               |
+| Reference     | https://huggingface.co/datasets/castorini/mr-tydi |
+
+
+## How to evaluate on this task
+
+You can evaluate an embedding model on this dataset using the following code:
+
+```python
+import mteb
+
+task = mteb.get_tasks(["MrTidyRetrieval"])
+evaluator = mteb.MTEB(task)
+
+model = mteb.get_model(YOUR_MODEL)
+evaluator.run(model)
+```
+
+<!-- Datasets want link to arxiv in readme to autolink dataset with paper -->
+To learn more about how to run models on `mteb` task check out the [GitHub repitory](https://github.com/embeddings-benchmark/mteb). 
+
+## Citation
+
+If you use this dataset, please cite the dataset as well as [mteb](https://github.com/embeddings-benchmark/mteb), as this dataset likely includes additional processing as a part of the [MMTEB Contribution](https://github.com/embeddings-benchmark/mteb/tree/main/docs/mmteb).
+
+```bibtex
+
+@article{mrtydi,
+  author = {Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin},
+  journal = {arXiv:2108.08787},
+  title = {{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval},
+  year = {2021},
+}
+
+
+@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, Lo{\"\i}c 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
+<details>
+  <summary> Dataset Statistics</summary>
+
+The following code contains the descriptive statistics from the task. These can also be obtained using:
+
+```python
+import mteb
+
+task = mteb.get_task("MrTidyRetrieval")
+
+desc_stats = task.metadata.descriptive_stats
+```
+
+```json
+{
+    "test": {
+        "num_samples": 58051987,
+        "number_of_characters": 20129435459,
+        "num_documents": 58043326,
+        "min_document_length": 2,
+        "average_document_length": 346.79462777512094,
+        "max_document_length": 61659,
+        "unique_documents": 58043326,
+        "num_queries": 8661,
+        "min_query_length": 6,
+        "average_query_length": 37.15783396836393,
+        "max_query_length": 144,
+        "unique_queries": 8661,
+        "none_queries": 0,
+        "num_relevant_docs": 10105,
+        "min_relevant_docs_per_query": 1,
+        "average_relevant_docs_per_query": 1.1667243967209329,
+        "max_relevant_docs_per_query": 3,
+        "unique_relevant_docs": 8926,
+        "num_instructions": null,
+        "min_instruction_length": null,
+        "average_instruction_length": null,
+        "max_instruction_length": null,
+        "unique_instructions": null,
+        "num_top_ranked": null,
+        "min_top_ranked_per_query": null,
+        "average_top_ranked_per_query": null,
+        "max_top_ranked_per_query": null
+    }
+}
+```
+
+</details>
+
+---
+*This dataset card was automatically generated using [MTEB](https://github.com/embeddings-benchmark/mteb)*
\ No newline at end of file
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