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qrels_oct_2024
QRELS dataset generated from 2024 experimentation assessment results.
Dataset Structure
The dataset follows the QRELS (Query Relevance) JSON format:
{
"qrels_nuggets": {
"query_id": {
"doc_id": score,
...
},
...
}
}
query_id: Unique identifier for the query.doc_id: Unique identifier for the document chunk.score: Relevance score (derived from nugget-level judgment).
Usage
import json
from huggingface_hub import hf_hub_download
# Download the file
file_path = hf_hub_download(repo_id="ngkuissi/qrels_oct_2024", filename="qrels.json", repo_type="dataset")
# Load the data
with open(file_path, 'r') as f:
data = json.load(f)
qrels = data["qrels_nuggets"]
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