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README.md
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# Dataset Card for "es_indexing_benchmark"
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# Dataset Card for "es_indexing_benchmark"
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Here is a code on how to pull and index this dataset to elasticsearch:
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```python
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import datasets
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from tqdm import tqdm
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from src.store.es.search import ESBaseClient
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from src.store.es.model import ESNode
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ds = datasets.load_dataset('stellia/es_indexing_benchmark', split='train', ignore_verifications=True)
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client = ESBaseClient()
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index_name = "tmp_es_index"
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nodes = []
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for row in tqdm(ds):
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esnode = ESNode(**row)
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esnode.meta.id = esnode.block.id
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nodes.append(esnode)
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client.delete_index(index_name)
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client.init_index(index_name)
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batch_size = 5000
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for i in tqdm(range(0, len(nodes), batch_size)):
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client.save(index_name, nodes[i:i+batch_size], refresh=False)
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```
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Consider empty `~/.cache/huggingface/datasets` with `rm -rf ~/.cache/huggingface/datasets` if you have problem loading the dataset.
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