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Upload folder using huggingface_hub

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  1. .gitattributes +1 -0
  2. README.md +57 -0
  3. corpus.jsonl +3 -0
  4. queries.jsonl +0 -0
  5. relevance.jsonl +0 -0
.gitattributes CHANGED
@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ corpus.jsonl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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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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+
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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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+
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+ **Usage**
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+ ```
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+ import datasets
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+
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+ # Download the dataset
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+ queries = datasets.load_dataset("embedding-benchmark/APPS", "queries")
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+ documents = datasets.load_dataset("embedding-benchmark/APPS", "corpus")
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+ pair_labels = datasets.load_dataset("embedding-benchmark/APPS", "default")
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+ ```
corpus.jsonl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c628e9fc0e2524c95ea1c21b6c91ca469d4e123eafc035863e45c8277dd57c6d
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+ size 10517989
queries.jsonl ADDED
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relevance.jsonl ADDED
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