printsoutputTargetTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/35e8715e-d550-480d-b85e-98e368d149e3logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') # Initialize the model model = ScoringModel() pipeline = EvaluationPipeline(model, device='cuda' if torch.cuda.is_available() else …
doc:beam/f06651a0-565a-4c4f-953c-79a4427537cbestimated_costs = [] for _, row in df.iterrows(): instance_type = row['instance_type'] cloud_provider = row['cloud_provider'] price_per_hour = row['price'] for usage in usage_patterns: tasks = usage['tasks'] …
doc:beam/e50e1439-fa74-447d-ba48-a7a4b6694859cleaned_text = re.sub(r"(\bcan't\b)", "cannot", cleaned_text) return cleaned_text def detect_language(text): try: lang = langdetect.detect(text) return lang except langdetect.LangDetectException: ret…
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