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<urn:uuid:cb66cf5f-c3d9-4beb-a595-d4e6988c1e6c> | A chemistry student or academic researcher interested in inorganic or physical chemistry, likely at an advanced undergraduate or graduate level, studying acid-base interactions and chemical bonding. | [
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<urn:uuid:a324d85e-d06f-4df4-a310-4885b141983b> | An education policy analyst focused on K-12 curriculum development and reform. | [
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<urn:uuid:f21ba86c-6507-43ec-9fe6-3a66d0339f5b> | A music teacher or instructor focused on theoretical and practical piano lessons. | [
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<urn:uuid:59186e4c-accc-4c50-846f-a4610731ac1a> | A mechanical engineer specializing in gear design and power transmission systems, likely with experience in industrial machinery and heavy-duty applications. | [
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<urn:uuid:4a393203-5525-4102-b7dc-ea93db5be3c5> | A classical guitar teacher or instructor, likely with experience teaching beginners, who focuses on breaking down complex music notation into understandable steps for their students. | [
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<urn:uuid:fd1ed574-37c0-4bc5-8afd-f8cfa1bba346> | A DIY enthusiast or environmentally conscious homeowner interested in renewable energy and sustainable living, possibly with a technical background or hands-on experience in construction or electronics. | [
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<urn:uuid:51a6bb65-558b-41c8-8399-9ff81c7d5f81> | A high school mathematics teacher focused on geometry who designs engaging, interactive lessons and activities to promote student participation and problem-solving skills. | [
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End of preview. Expand
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Dataset Card for test-text-clustering-structured-batched-v0.1
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/plaguss/test-text-clustering-structured-batched-v0.1/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/plaguss/test-text-clustering-structured-batched-v0.1/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"cluster_label": -1,
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],
"id": "\u003curn:uuid:cb66cf5f-c3d9-4beb-a595-d4e6988c1e6c\u003e",
"persona": "A chemistry student or academic researcher interested in inorganic or physical chemistry, likely at an advanced undergraduate or graduate level, studying acid-base interactions and chemical bonding.",
"projection": [
5.044632434844971,
7.427701950073242
],
"summary_label": "\"None\""
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("plaguss/test-text-clustering-structured-batched-v0.1", "default")
Or simply as it follows, since there's only one configuration and is named default:
from datasets import load_dataset
ds = load_dataset("plaguss/test-text-clustering-structured-batched-v0.1")
Artifacts
Step:
u_m_a_p_0Artifact name:
UMAP_modeln_components: 2metric: cosine
Step:
d_b_s_c_a_n_0Artifact name:
DBSCAN_modeleps: 0.3min_samples: 30metric: euclidean
Step:
text_clustering_0Artifact name:
Text clusterstype: imagelibrary: matplotlib
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