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The greatest example has been in his present job ( then , Minister for Foreign Affairs ) , where he has perforce concentrated on Anglo-Irish relations and , in particular the North ( i.e. , Northern Ireland ) .
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His reputation rose further when opposition leaders under parliamentary privilege alleged that Taoiseach Charles Haughey , who in January 1982 had been Leader of the Opposition , had not merely rung the President 's Office but threatened to end the career of the army officer who took the call and who , on Hillery 's ex...
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He considered returning to medicine , perhaps moving with his wife , Maeve ( also a doctor ) to Africa .
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As Social Affairs Commissioner Hillery 's most famous policy initiative was to force EEC member states to give equal pay to women .
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When a furious President à `` Dà laigh resigned , a deeply reluctant Hillery agreed to become the Fianna Fà il candidate for the presidency .
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The election resulted in a return to power for Fianna FÃ il and Hillery was successful on his first attempt to get elected .
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Patrick John `` Paddy '' Hillery ( 2 May 1923 â `` 12 April 2008 ) was an Irish Fianna FÃ il politician and the sixth President of Ireland from 1976 until 1990 .
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Upon his conferral in 1947 he returned to his native town where he followed in his fatherâ s footsteps as a doctor .
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"At third level Hillery attended University College Dublin where he qualified with a degree in medic(...TRUNCATED)
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Hillery married Mary Beatrice ( Maeve ) Finnegan on 27 October 1955 .
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Simple Wiki Multi-Teacher Embedding Distillation

Multi-teacher embedding distillation dataset built from the original text in sentence-transformers/simple-wiki, using the pair config and keeping only the text column.

Each sample contains the source text plus embeddings generated sequentially from three teacher models:

  1. avsolatorio/NoInstruct-small-Embedding-v0
  2. Supabase/gte-small
  3. avsolatorio/GIST-small-Embedding-v0

This setup is intended for task-agnostic embedding distillation across heterogeneous teacher spaces.

  • Texts may have been truncated to a fixed maximum sequence length during encoding

Example

from datasets import load_dataset

ds = load_dataset("YOUR_USERNAME/YOUR_DATASET_NAME")
print(ds["train"][0].keys())
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