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Datasets:
noxneural
/
lilium_albanicum_eng_alb

Tasks:
Translation
Question Answering
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Albanian
Size:
100K - 1M
Libraries:
Datasets
pandas
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  ---
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-
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  release_notes:
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- - "Release with English-Albanian and Albanian-English translation pairs, optimized for LLM finetuning."
 
 
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  task_categories:
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- - translation
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- - question-answering
 
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  language_creators:
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- - expert-generated
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  annotations_creators:
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- - machine-generated
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  source_datasets:
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- - "Original: Albanian-English parallel corpus MaCoCu-sq-en 1.0"
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- - "Extended: Synthetic Q&A pairs generated for LLM translation tasks"
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  pretty_name: Lilium Albanicum
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  size_categories:
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- - "100K<n<1M"
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  multilinguality:
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- - bilingual
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-
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  curation_rationale:
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- - "To enhance bilingual translation models' performance with a focus on conversational context."
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- - "To provide a rich dataset for fine-tuning translation systems between English and Albanian."
 
 
 
 
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  data_source:
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- - Web corpora
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  annotation_process:
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- - "Automated generation followed by human review."
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- - "Consistency checks with source data to maintain alignment."
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  known_limitations:
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- - "Synthetic nature may not capture all nuances of natural language."
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- - "Limited by the scope of the source dataset in terms of domain coverage."
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  validation_method:
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- - "Cross-validation with existing translation datasets."
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- - "Performance evaluation on benchmark translation tasks."
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  contact_information:
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- name: "Marlind Maksuti"
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- email: "marlind.maksuti@gmail.com"
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- affiliation: "StochastX"
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  additional_information:
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- - "Dataset inspired by an extended from the Albanian-English parallel corpus MaCoCu-sq-en 1.0."
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- - "Each Q&A pair is crafted to reflect realistic conversational scenarios for effective translation model training."
 
 
 
 
 
 
 
 
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  ---
 
1
  ---
 
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  release_notes:
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+ - >-
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+ Release with English-Albanian and Albanian-English translation pairs,
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+ optimized for LLM finetuning.
6
  task_categories:
7
+ - translation
8
+ - question-answering
9
+ - conversational
10
  language_creators:
11
+ - expert-generated
12
  annotations_creators:
13
+ - machine-generated
14
  source_datasets:
15
+ - 'Original: Albanian-English parallel corpus MaCoCu-sq-en 1.0'
16
+ - 'Extended: Synthetic Q&A pairs generated for LLM translation tasks'
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  pretty_name: Lilium Albanicum
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  size_categories:
19
+ - 100K<n<1M
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  multilinguality:
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+ - bilingual
 
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  curation_rationale:
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+ - >-
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+ To enhance bilingual translation models' performance with a focus on
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+ conversational context.
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+ - >-
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+ To provide a rich dataset for fine-tuning translation systems between English
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+ and Albanian.
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  data_source:
30
+ - Web corpora
31
  annotation_process:
32
+ - Automated generation followed by human review.
33
+ - Consistency checks with source data to maintain alignment.
34
  known_limitations:
35
+ - Synthetic nature may not capture all nuances of natural language.
36
+ - Limited by the scope of the source dataset in terms of domain coverage.
37
  validation_method:
38
+ - Cross-validation with existing translation datasets.
39
+ - Performance evaluation on benchmark translation tasks.
40
  contact_information:
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+ name: Marlind Maksuti
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+ email: marlind.maksuti@gmail.com
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+ affiliation: StochastX
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  additional_information:
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+ - >-
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+ Dataset inspired by an extended from the Albanian-English parallel corpus
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+ MaCoCu-sq-en 1.0.
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+ - >-
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+ Each Q&A pair is crafted to reflect realistic conversational scenarios for
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+ effective translation model training.
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+ license: mit
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+ language:
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+ - sq
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+ - en
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  ---