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              [html]<thead><tr><td>Dataset</td><td>Syntec</td><td>HAL</td><td>SummEvalFr</td></tr></thead><tbody><tr><td>Samples</td><td>100 queries 90 documents</td><td>26233 samples 10 classes</td><td>100 texts1100 human summaries1600 machine summaries</td></tr><tr><td>Creation process</td><td>Scraping of Syntec collective bargaining agreement with articles as documents. Writing queries corresponding to articles.</td><td>Scraping of HAL articles with id. title and domain. Further cleaning with deduplication, language filtering and class subsampling.</td><td>Translation from English to French with Deepl of the SummEval dataset.</td></tr><tr><td>Annotation process</td><td>4 annotators divided into 2 groups. Each group was given half of the articles and asked to choose an article and ask a question about it. Each annotator wrote 25 questions.</td><td>Annotations provided by authors when submitting their paper. They choose the domain between existing academic fields.</td><td>Detailed annotation process provided in Fabbri et al. ( 2021 ).</td></tr><tr><td>Quality checks</td><td>Human verification of annotations.</td><td>Baseline models for classification and topic modeling.</td><td>CorrelationBLEUse of scores of the French and the original English datasets. LLM as - a - judge translationrating and human verification.</td></tr></tbody>
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