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data/isaacoresanya__freelancer__pairs__cleaned__removed_sample_annotated-part-00001.jsonl
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{"input": "\"Data Analysis and Reporting\"", "err": null, "meta": {"est_input_tokens": 132}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Dashboard Sales Analysis Odoo 14\"", "err": null, "meta": {"est_input_tokens": 133}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"excel skills\"", "err": null, "meta": {"est_input_tokens": 128}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Python Text Analysis Script\"", "err": null, "meta": {"est_input_tokens": 132}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"I need to a developer to create Python code using Tensorflow to predict a value in a dataset\"", "err": null, "meta": {"est_input_tokens": 148}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Matlab to python data science (time-seriers analysis) code translation\"", "err": null, "meta": {"est_input_tokens": 143}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Request: Query Function for Top 3 or 10 Sales Qty in one list/table in Google Sheets\"", "err": null, "meta": {"est_input_tokens": 146}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Student Tracker - Excel Data\"", "err": null, "meta": {"est_input_tokens": 132}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"ebook typing , Microsoft excel , data entry , audio transcription\"", "err": null, "meta": {"est_input_tokens": 142}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"I needed Grey relational analysis of data excel\"", "err": null, "meta": {"est_input_tokens": 137}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Development of an extreem powerfull Excel tool for calculating and visualizing care hours distribution per category\"", "err": null, "meta": {"est_input_tokens": 154}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"24 HOUR DATA ANALYSIS USING API\"", "err": null, "meta": {"est_input_tokens": 133}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"I need a Financial expert with knowledge in handling Excel\"", "err": null, "meta": {"est_input_tokens": 140}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Excel merging with python\"", "err": null, "meta": {"est_input_tokens": 132}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Data analysis with use of Statistical tool\"", "err": null, "meta": {"est_input_tokens": 136}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Data Analysis for 911 call data from kaggle in python\"", "err": null, "meta": {"est_input_tokens": 139}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Run Python code for text processing and Implement a code in python for time series data\"", "err": null, "meta": {"est_input_tokens": 147}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"complete customer data and accounting package in excel\"", "err": null, "meta": {"est_input_tokens": 139}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Exploratory Data Analysis in Python\"", "err": null, "meta": {"est_input_tokens": 134}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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{"input": "\"Build tools using python for time series analysis forcasting\"", "err": null, "meta": {"est_input_tokens": 140}, "usage": null, "raw_content": "{\"rewrite\": \"[simulated rewrite]\", \"confidence\": 0.9, \"note\": \"dry_run\"}", "rewrite": "[simulated rewrite]", "confidence": 0.9, "note": "dry_run"}
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