Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Size:
1K - 10K
Tags:
text-retrieval
Upload folder using huggingface_hub
Browse files- README.md +57 -0
- corpus.jsonl +0 -0
- queries.jsonl +0 -0
- relevance.jsonl +974 -0
README.md
ADDED
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| 1 |
+
---
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| 2 |
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task_categories:
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- text-retrieval
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task_ids:
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- document-retrieval
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config_names:
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- corpus
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tags:
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- text-retrieval
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dataset_info:
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- config_name: default
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features:
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- name: query-id
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dtype: string
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- name: corpus-id
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dtype: string
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- name: score
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dtype: float64
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- config_name: corpus
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features:
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- name: id
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dtype: string
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- name: text
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dtype: string
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- config_name: queries
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features:
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- name: id
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dtype: string
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- name: text
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dtype: string
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configs:
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- config_name: default
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data_files:
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- split: test
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path: relevance.jsonl
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- config_name: corpus
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data_files:
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- split: corpus
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path: corpus.jsonl
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- config_name: queries
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data_files:
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- split: queries
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path: queries.jsonl
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---
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- The corpus set consists of the legal documents.
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- The query set includes questions pertaining to legal documents.
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**Usage**
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```
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import datasets
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# Download the dataset
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queries = datasets.load_dataset("embedding-benchmark/MBPP", "queries")
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documents = datasets.load_dataset("embedding-benchmark/MBPP", "corpus")
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pair_labels = datasets.load_dataset("embedding-benchmark/MBPP", "default")
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```
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corpus.jsonl
ADDED
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The diff for this file is too large to render.
See raw diff
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queries.jsonl
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The diff for this file is too large to render.
See raw diff
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relevance.jsonl
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@@ -0,0 +1,974 @@
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| 114 |
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