Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
json
Sub-tasks:
document-retrieval
Languages:
English
Size:
< 1K
Tags:
text-retrieval
Add
Browse files- .gitattributes +2 -0
- README.md +78 -0
- corpus.jsonl +3 -0
- qrels/test.jsonl +195 -0
- queries.jsonl +3 -0
.gitattributes
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@@ -53,3 +53,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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corpus.jsonl filter=lfs diff=lfs merge=lfs -text
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queries.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,78 @@
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---
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language:
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- en
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multilinguality:
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- monolingual
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task_categories:
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- text-retrieval
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source_datasets:
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- https://zenodo.org/records/4063986
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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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splits:
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- name: test
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num_examples: 195
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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: title
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dtype: string
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- name: text
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dtype: string
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splits:
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- name: corpus
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num_examples: 186
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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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splits:
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- name: queries
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num_examples: 50
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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: qrels/test.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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**AILA_casedocs**
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- Original link: https://zenodo.org/records/4063986
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- The task is to retrieve the case document that most closely matches or is most relevant to the scenario described in the provided query.
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- The query set comprises 50 queries, each describing a specific situation.
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- The corpus set consists of case 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("mteb/AILA_casedocs", "queries")
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documents = datasets.load_dataset("mteb/AILA_casedocs", "corpus")
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pair_labels = datasets.load_dataset("mteb/AILA_casedocs", "default")
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```
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corpus.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1df8d719a1afa050abf0d92050c6240e8bf5c885f73c895e76b3c34af7964dcd
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size 5036108
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qrels/test.jsonl
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{"query-id": "00000", "corpus-id": "FCIX3BYOtD", "score": 1}
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{"query-id": "00000", "corpus-id": "YsP6ihgIqL", "score": 1}
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queries.jsonl
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb14f0569f9a207eb0ef1285ecc5db71ccaebd99ff9d93ffa8c13a735848c179
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size 153417
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