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{"check-in":"Today I tried writing a better prompt for my check-in analysis 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{"check-in":"Today I forgot what I was working on and didn\u2019t make progress.","score":"below 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{"check-in":"Today I created a new classification template for future projects.","score":"above 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{"check-in":"Today I updated training notes and added clear label definitions.","score":"above 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{"check-in":"Today I reran predictions for average examples 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{"check-in":"Today I avoided the notebook and didn\u2019t touch the dataset.","score":"below 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{"check-in":"Today I was unsure about my goal and didn\u2019t make progress.","score":"below 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{"check-in":"Today I didn\u2019t complete any items on my task list.","score":"below 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{"check-in":"Today I tried to increase batch size and 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{"check-in":"Today I led a walkthrough of my check-in labeling strategy.","score":"above 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{"check-in":"Today I copied some sample check-ins to test against the trained 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{"check-in":"Today I helped clean and relabel data in a shared workspace.","score":"above 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{"check-in":"Today I trained the model using all 500 examples and shared the results.","score":"above 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{"check-in":"Today I checked prediction consistency across models and recorded my findings.","score":"above 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{"check-in":"Today I didn\u2019t write anything or submit a check-in.","score":"below 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{"check-in":"Today I tagged several statements that fell into the average 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{"check-in":"Today I experimented with hyperparameter tuning and saw improved performance.","score":"above 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{"check-in":"Today I reviewed my model predictions and noted a few 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{"check-in":"Today I copied some working code blocks into a clean 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{"check-in":"Today I pushed a final version of the dataset after review.","score":"above 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{"check-in":"Today I suggested changes to the prompt formatting to improve output accuracy.","score":"above 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{"check-in":"Today I worked on consistency in how my check-ins are 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{"check-in":"Today I compared the last 3 versions of my model and analyzed key changes.","score":"above 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{"check-in":"Today I wrote code to help organize predictions by confidence level.","score":"above 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{"check-in":"Today I set up multiple training scenarios to find the best model.","score":"above 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{"check-in":"Today I checked how balanced my dataset is across all 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{"check-in":"Today I checked over the logs and saved the 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{"check-in":"Today I tested check-ins using a classification 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{"check-in":"Today I renamed my classification file to prepare for 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{"check-in":"Today I combined old and new examples into a cleaner master dataset.","score":"above 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{"check-in":"Today I fine-tuned the model and improved performance on the validation set.","score":"above 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{"check-in":"Today I built a batch test system for running multiple inputs through the model.","score":"above 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{"check-in":"Today I reviewed my notes and made small progress on training 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{"check-in":"Today I duplicated my working file for 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{"check-in":"Today I skipped my work session and didn\u2019t reschedule.","score":"below 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{"check-in":"Today I reviewed how the model was predicting and saw some 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{"check-in":"Today I reviewed our team\u2019s labeled examples for consistency.","score":"above 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{"check-in":"Today I worked with label mappings to make the dataset 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{"check-in":"Today I suggested ways to improve dataset efficiency for future interns.","score":"above 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{"check-in":"Today I delayed starting and never began the task.","score":"below 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{"check-in":"Today I tested my model on edge cases and adjusted the training loop.","score":"above 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{"check-in":"Today I reran evaluation to check performance after 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{"check-in":"Today I skipped over everything I planned to do.","score":"below 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{"check-in":"Today I reran a previous training script to confirm 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{"check-in":"Today I explored Hugging Face spaces for ways to improve deployment.","score":"above 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{"check-in":"Today I worked ahead on next week's model evaluation goals.","score":"above 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{"check-in":"Today I logged in but didn\u2019t feel ready to work.","score":"below 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{"check-in":"Today I adjusted model hyperparameters and explained the changes in my notebook.","score":"above 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{"check-in":"Today I left my workspace untouched and walked away from the task.","score":"below 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{"check-in":"Today I backed up my dataset to Google 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{"check-in":"Today I used a helper function to format my training 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{"check-in":"Today I created a dictionary for score-to-label 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{"check-in":"Today I spent time adding and labeling a few more 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{"check-in":"Today I labeled check-ins that felt neutral or 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{"check-in":"Today I packaged my model for export and tested it in a new environment.","score":"above 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{"check-in":"Today I explained model training to another intern using examples from my project.","score":"above 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{"check-in":"Today I labeled some borderline cases as 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{"check-in":"Today I gave a brief explanation of my check-in model to a mentor.","score":"above 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{"check-in":"Today I loaded the notebook but left it idle.","score":"below 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{"check-in":"Today I implemented a custom scoring system and tested it with real examples.","score":"above 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{"check-in":"Today I wasn\u2019t able to concentrate and did not complete a check-in.","score":"below 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{"check-in":"Today I made a series of improvements based on yesterday\u2019s model review.","score":"above 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{"check-in":"Today I optimized my training time by adjusting the batch size and learning rate.","score":"above 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{"check-in":"Today I verified my labels matched the training 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{"check-in":"Today I updated the dataset and verified that all entries are 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{"check-in":"Today I reviewed prediction accuracy for average-labeled 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{"check-in":"Today I added code comments to better explain each 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{"check-in":"Today I created a test harness to automate prediction validation.","score":"above 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{"check-in":"Today I read through my notebook and refreshed my 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{"check-in":"Today I built a confusion matrix visualization in my notebook.","score":"above 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{"check-in":"Today I created a strategy to streamline future labeling sessions.","score":"above 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{"check-in":"Today I tried renaming label keys to see what works 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{"check-in":"Today I created a feedback sheet to track my model's prediction accuracy.","score":"above 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{"check-in":"Today I logged into Slack but didn\u2019t post or comment.","score":"below 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{"check-in":"Today I added 5 more check-ins for the average 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{"check-in":"Today I wasn\u2019t sure how to improve my model, so I didn\u2019t try.","score":"below 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{"check-in":"Today I retrained with improved tokenization and achieved better accuracy.","score":"above 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{"check-in":"Today I didn\u2019t get around to fixing the errors in my code.","score":"below 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{"check-in":"Today I pushed the task to tomorrow and didn\u2019t work on it today.","score":"below 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{"check-in":"Today I rechecked old predictions to see if improvements were 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{"check-in":"Today I tried creating variations of similar check-in 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{"check-in":"Today I made some progress labeling new 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{"check-in":"Today I worked on enhancing label clarity with better sentence examples.","score":"above 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{"check-in":"Today I made no changes to my code or data.","score":"below 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{"check-in":"Today I revised all labels in the dataset to ensure consistency.","score":"above 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{"check-in":"Today I was confused and didn\u2019t complete anything.","score":"below 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{"check-in":"Today I helped a teammate troubleshoot a tokenization issue.","score":"above 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{"check-in":"Today I contributed new high-effort examples to strengthen the above average class.","score":"above 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{"check-in":"Today I helped compare results from two different training configurations.","score":"above 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{"check-in":"Today I led a brainstorm on improving label guidelines.","score":"above 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{"check-in":"Today I experimented with classification using fewer 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{"check-in":"Today I looked into model overfitting and training 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{"check-in":"Today I manually labeled 10 more 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{"check-in":"Today I finalized my labeling structure for average 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{"check-in":"Today I modified my dataset and pushed a new 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{"check-in":"Today I plotted my evaluation metrics and saved the 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{"check-in":"Today I simplified some of the JSON formatting in my 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{"check-in":"Today I lost motivation and didn\u2019t touch the project.","score":"below 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{"check-in":"Today I helped resolve confusion between similar check-in examples.","score":"above 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{"check-in":"Today I reviewed my team\u2019s notes and offered insights on dataset design.","score":"above 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{"check-in":"Today I completed a full training cycle and documented the results.","score":"above 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{"check-in":"Today I reviewed the Hugging Face docs and shared tips with others.","score":"above 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{"check-in":"Today I helped revise 20 check-in examples for clarity and balance.","score":"above 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{"check-in":"Today I followed a tutorial on Hugging Face 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{"check-in":"Today I retrained with a focus on model generalization and clarity.","score":"above 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{"check-in":"Today I analyzed how many examples were in each label 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{"check-in":"Today I looked at my logs and documented the training 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{"check-in":"Today I helped optimize another intern\u2019s model script for faster results.","score":"above 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{"check-in":"Today I didn\u2019t finish even the small task I started.","score":"below 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{"check-in":"Today I refactored code blocks to reduce duplication.","score":"above 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{"check-in":"Today I read over the notebook but didn\u2019t interact with it.","score":"below 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{"check-in":"Today I created a rough draft of my check-in classification 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{"check-in":"Today I explored the errors in the 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{"check-in":"Today I didn\u2019t use any of the feedback I received last time.","score":"below 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{"check-in":"Today I corrected prediction mismatches and updated the logs.","score":"above 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{"check-in":"Today I moved the training code into a separate 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{"check-in":"Today I used Colab\u2019s TPU runtime to speed up training.","score":"above 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{"check-in":"Today I avoided the task altogether and didn\u2019t participate.","score":"below 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{"check-in":"Today I tested several check-ins to verify label 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{"check-in":"Today I spent the session thinking about what to do but didn\u2019t do it.","score":"below 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{"check-in":"Today I adjusted my JSON format to match training 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{"check-in":"Today I couldn\u2019t stay focused enough to make progress.","score":"below 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{"check-in":"Today I tried multiple epochs and logged validation accuracy trends.","score":"above 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{"check-in":"Today I looked at old notes and reviewed key training 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{"check-in":"Today I watched part of a model evaluation 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{"check-in":"Today I added over 20 diverse check-ins to improve category balance.","score":"above 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{"check-in":"Today I forgot to open Colab and didn\u2019t start anything.","score":"below 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{"check-in":"Today I ran multiple evaluation rounds and documented each score.","score":"above 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{"check-in":"Today I evaluated 20 check-ins and explained why they fit the \u2018above average\u2019 label.","score":"above 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{"check-in":"Today I created comparison visuals of each label group\u2019s structure.","score":"above 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{"check-in":"Today I had trouble understanding the next steps.","score":"below 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{"check-in":"Today I corrected some spacing issues in the 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{"check-in":"Today I removed bias-prone phrases from labeled check-ins.","score":"above 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{"check-in":"Today I worked on getting my tokenizer setup 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{"check-in":"Today I organized my files for better 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{"check-in":"Today I reviewed my project plan and completed two major checklist items.","score":"above 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{"check-in":"Today I let the session end without contributing anything.","score":"below 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{"check-in":"Today I experimented with early stopping and reviewed the training loss curves.","score":"above 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{"check-in":"Today I ran the model across all unlabeled check-ins and tagged the outputs.","score":"above 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{"check-in":"Today I opened my notes but never interacted with them.","score":"below 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{"check-in":"Today I couldn\u2019t remember where I left off and didn\u2019t restart.","score":"below 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{"check-in":"Today I added a note explaining how my classification 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{"check-in":"Today I worked on converting my dataset into JSONL 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{"check-in":"Today I reviewed my notes from last session and made a small 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{"check-in":"Today I consolidated all project notes into a final summary document.","score":"above 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{"check-in":"Today I worked on the logic for my compute_metrics 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{"check-in":"Today I explored alternate model architectures to improve classification results.","score":"above 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{"check-in":"Today I recorded a video walkthrough of my check-in labeling method.","score":"above 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{"check-in":"Today I didn\u2019t open my coding environment at all.","score":"below 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{"check-in":"Today I reflected on my project goals and finalized my labeling strategy.","score":"above 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{"check-in":"Today I prepared a section in the documentation showing how to interpret predictions.","score":"above 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{"check-in":"Today I checked in late and didn\u2019t write anything new.","score":"below 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{"check-in":"Today I added a column to track prediction confidence.","score":"above 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{"check-in":"Today I trained a new model version and shared the results with the team.","score":"above 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{"check-in":"Today I refreshed my understanding of evaluation 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{"check-in":"Today I checked the format of the check-in 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{"check-in":"Today I finished documenting my classification workflow and shared the notebook.","score":"above 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{"check-in":"Today I created 30 new labeled check-in examples for our dataset.","score":"above 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{"check-in":"Today I contributed detailed feedback on another intern\u2019s check-in samples.","score":"above 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{"check-in":"Today I saved a copy of my labeled examples to use in 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{"check-in":"Today I was unsure how to measure my progress and didn\u2019t record anything.","score":"below 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{"check-in":"Today I wrote notes on how each label type can be better identified by the model.","score":"above 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{"check-in":"Today I conducted model evaluation using both manual and automated methods.","score":"above 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{"check-in":"Today I made sure my dataset is shuffled before 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{"check-in":"Today I updated my validation 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{"check-in":"Today I didn\u2019t make any forward progress on my task.","score":"below 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{"check-in":"Today I helped identify mislabeled examples in a teammate\u2019s data file.","score":"above 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{"check-in":"Today I revisited my notebook and fixed some formatting 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{"check-in":"Today I reviewed model predictions and improved 10 borderline examples.","score":"above 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{"check-in":"Today I cleaned some duplicate entries in my JSONL 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{"check-in":"Today I stayed in planning mode without starting the task.","score":"below 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{"check-in":"Today I tested the training pipeline one more time to ensure 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{"check-in":"Today I sorted my dataset entries alphabetically for 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{"check-in":"Today I updated my Colab notebook with 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{"check-in":"Today I wrote suggestions for future dataset improvements.","score":"above 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{"check-in":"Today I adjusted the dataset to reflect more 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{"check-in":"Today I cleaned the entire dataset and restructured it for training.","score":"above 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{"check-in":"Today I reviewed model error patterns and improved my dataset labels.","score":"above 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{"check-in":"Today I stared at my code but didn\u2019t know how to fix it.","score":"below 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{"check-in":"Today I re-read the instructions but didn\u2019t apply them.","score":"below 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{"check-in":"Today I prepared sample check-ins for team testing.","score":"above 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{"check-in":"Today I sat at my screen but couldn\u2019t decide where to begin.","score":"below 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{"check-in":"Today I created a walkthrough of my model training and testing process.","score":"above 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{"check-in":"Today I polished my notes and shared final model metrics.","score":"above 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{"check-in":"Today I took time to label evenly across each check-in 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{"check-in":"Today I reviewed sample check-ins and brainstormed 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{"check-in":"Today I summarized my model results in a markdown file.","score":"above 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{"check-in":"Today I struggled to stay focused and didn\u2019t complete anything.","score":"below 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{"check-in":"Today I tried different learning rates in my training 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{"check-in":"Today I had the chance to work but chose not to.","score":"below 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{"check-in":"Today I generated predictions using a batch of average 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{"check-in":"Today I revised the check-in examples with clearer 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{"check-in":"Today I felt overwhelmed and didn\u2019t get started.","score":"below 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{"check-in":"Today I ran a full test suite on the updated model.","score":"above 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{"check-in":"Today I merged cleaned datasets and verified all label distributions.","score":"above 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{"check-in":"Today I checked my messages but didn\u2019t get started on my task.","score":"below 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{"check-in":"Today I proposed new features to help refine the check-in evaluation process.","score":"above 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{"check-in":"Today I exported my model and checked the file 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{"check-in":"Today I ignored feedback and didn\u2019t apply suggestions.","score":"below 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{"check-in":"Today I validated the formatting of all check-in labels.","score":"above 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{"check-in":"Today I trained the final model with balanced data and submitted results.","score":"above 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{"check-in":"Today I tested predictions with new examples from my 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{"check-in":"Today I resolved several merge conflicts in the team dataset.","score":"above 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{"check-in":"Today I reviewed which check-ins fell under the average 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{"check-in":"Today I debugged my training pipeline and identified a key improvement.","score":"above 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{"check-in":"Today I corrected label imbalances and reran model training with great results.","score":"above 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{"check-in":"Today I organized my training code into modular blocks.","score":"above 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{"check-in":"Today I stayed in planning mode and didn\u2019t take action.","score":"below 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{"check-in":"Today I helped onboard a teammate by walking them through our project.","score":"above 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{"check-in":"Today I documented what I completed in my 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{"check-in":"Today I opened the dataset but didn\u2019t make any updates.","score":"below 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{"check-in":"Today I tweaked the number of epochs for my model 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{"check-in":"Today I made a checklist to catch low-quality training examples.","score":"above 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{"check-in":"Today I proactively improved dataset balance by adding new rows.","score":"above 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{"check-in":"Today I refined a few check-in labels and checked for 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{"check-in":"Today I was inactive due to other responsibilities.","score":"below 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{"check-in":"Today I ran all check-in predictions through the model for review.","score":"above 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{"check-in":"Today I created a script to automatically generate prediction reports.","score":"above 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{"check-in":"Today I prepared a short tutorial on using JSONL in Hugging Face.","score":"above 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{"check-in":"Today I cleaned up punctuation in the 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{"check-in":"Today I practiced rerunning training with slightly different 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{"check-in":"Today I added visual tracking of accuracy over multiple runs.","score":"above 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{"check-in":"Today I forgot to check my messages and fell behind.","score":"below 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{"check-in":"Today I built a scoring rubric to guide check-in classification.","score":"above 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{"check-in":"Today I included a confusion matrix in my evaluation summary.","score":"above 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{"check-in":"Today I helped organize our check-in dataset for easier reuse.","score":"above 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{"check-in":"Today I made no additions to my dataset.","score":"below 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{"check-in":"Today I worked on labeling several 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{"check-in":"Today I led a short discussion on improving our model evaluation methods.","score":"above 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{"check-in":"Today I let my time pass without any focused effort.","score":"below 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{"check-in":"Today I recorded the number of examples per 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{"check-in":"Today I forgot the topic I was working on.","score":"below 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{"check-in":"Today I reviewed my dataset but didn\u2019t touch any labels.","score":"below 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{"check-in":"Today I worked through most of my 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{"check-in":"Today I started training and recorded my initial 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{"check-in":"Today I trained my model with the updated 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{"check-in":"Today I saved the latest model output for later 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{"check-in":"Today I sat down to work but felt too anxious to start.","score":"below 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{"check-in":"Today I prepared a demo set with average responses for 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{"check-in":"Today I created new test inputs that represent edge cases.","score":"above 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{"check-in":"Today I made a fresh copy of the check-in training 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{"check-in":"Today I explored three evaluation metrics and visualized model output.","score":"above 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{"check-in":"Today I assisted with organizing the shared training datasets by label type.","score":"above 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{"check-in":"Today I worked on aligning my input format with my 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{"check-in":"Today I didn\u2019t do any new work on my dataset.","score":"below 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{"check-in":"Today I finalized a balanced version of the dataset and exported it.","score":"above 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{"check-in":"Today I opened the app but didn\u2019t interact with the files.","score":"below 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{"check-in":"Today I created a basic evaluation 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{"check-in":"Today I wasted time on distractions and avoided the project.","score":"below 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{"check-in":"Today I stayed in the planning phase and didn\u2019t write anything.","score":"below 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{"check-in":"Today I created a GitHub repository to track my training progress.","score":"above 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{"check-in":"Today I looked at the project files but didn\u2019t make edits.","score":"below 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{"check-in":"Today I had no focus and didn\u2019t produce anything.","score":"below 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{"check-in":"Today I designed a set of training questions for future team members.","score":"above 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{"check-in":"Today I checked Slack but never responded or added updates.","score":"below 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{"check-in":"Today I added more examples to my 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{"check-in":"Today I printed out a few examples and compared their 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{"check-in":"Today I created a markdown file to summarize my classification 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{"check-in":"Today I avoided opening Colab because I wasn\u2019t sure what to do.","score":"below 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{"check-in":"Today I tested my model with a variety of sentence 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{"check-in":"Today I edited some examples to remove 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{"check-in":"Today I started fresh on a clean copy of the average-labeled 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{"check-in":"Today I didn\u2019t move forward on my task.","score":"below 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{"check-in":"Today I let time pass and didn\u2019t even open the workspace.","score":"below 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{"check-in":"Today I conducted a review of false positive predictions and created improvement notes.","score":"above 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{"check-in":"Today I joined the meeting but stayed silent the whole time.","score":"below 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{"check-in":"Today I tried adjusting learning rate and reran 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{"check-in":"Today I reran my model to double-check its 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{"check-in":"Today I created a short list of improvements to try 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{"check-in":"Today I waited too long to start and didn\u2019t make progress.","score":"below 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{"check-in":"Today I wrote detailed steps for retraining and shared them with my mentor.","score":"above 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{"check-in":"Today I looked at the requirements but didn\u2019t act on them.","score":"below 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{"check-in":"Today I completed basic cleaning of the classification 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{"check-in":"Today I didn\u2019t have time to think about the check-in task.","score":"below 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{"check-in":"Today I edited a few check-in examples to better match their 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{"check-in":"Today I looked at my dataset but didn\u2019t add new entries.","score":"below 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{"check-in":"Today I edited over 15 check-ins for tone and consistency.","score":"above 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{"check-in":"Today I worked on improving the clarity of a few 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{"check-in":"Today I experimented with validation accuracy on average-labeled 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{"check-in":"Today I closed my workspace without contributing anything.","score":"below 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{"check-in":"Today I labeled examples for my classification 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{"check-in":"Today I shared my final model results and how I achieved them.","score":"above 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{"check-in":"Today I had technical issues and couldn\u2019t get anything done.","score":"below 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{"check-in":"Today I added brief comments to explain each function in the 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{"check-in":"Today I tried a different batch size to see if training 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{"check-in":"Today I analyzed the most common model mistakes and drafted improvements.","score":"above 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{"check-in":"Today I worked on fixing a formatting issue in my 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{"check-in":"Today I joined the session but didn\u2019t participate.","score":"below 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{"check-in":"Today I went through previous examples and edited their 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{"check-in":"Today I tried tagging check-ins by tone as 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{"check-in":"Today I updated and ran the test script with three new example check-ins.","score":"above 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{"check-in":"Today I didn\u2019t complete any of the goals I set last time.","score":"below 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{"check-in":"Today I completed my model and tested it with new data.","score":"above 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{"check-in":"Today I pushed small edits to my model 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{"check-in":"Today I had a hard time starting and didn\u2019t write anything new.","score":"below 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{"check-in":"Today I checked Slack but didn\u2019t work on my task.","score":"below 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{"check-in":"Today I saw my errors but didn\u2019t fix them.","score":"below 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{"check-in":"Today I adjusted my data formatting for 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{"check-in":"Today I avoided everything that could\u2019ve helped me make progress.","score":"below 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{"check-in":"Today I revised the most confusing check-ins to clarify intent.","score":"above 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{"check-in":"Today I didn\u2019t reach out even though I was stuck.","score":"below 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{"check-in":"Today I cleaned and labeled 50 new examples for classification.","score":"above 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{"check-in":"Today I didn\u2019t have time to make any changes.","score":"below 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{"check-in":"Today I reviewed the check-ins labeled as average and updated a 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{"check-in":"Today I avoided opening my progress tracker.","score":"below 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{"check-in":"Today I labeled entries with middle-of-the-road effort as 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{"check-in":"Today I added a timestamp to each check-in 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{"check-in":"Today I avoided my main task because it felt difficult.","score":"below 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{"check-in":"Today I opened the model logs and looked at the accuracy over 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{"check-in":"Today I created backup checkpoints during model training.","score":"above 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{"check-in":"Today I updated the class definitions and reviewed label distribution.","score":"above 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{"check-in":"Today I labeled borderline examples more carefully to avoid bias.","score":"above 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{"check-in":"Today I was distracted and didn\u2019t contribute to the project.","score":"below 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{"check-in":"Today I logged off early and didn\u2019t complete the check-in.","score":"below 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{"check-in":"Today I updated my dataset file with new 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{"check-in":"Today I had no new updates.","score":"below 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{"check-in":"Today I lost track of time and missed my work session.","score":"below 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{"check-in":"Today I pushed clean updates to the repository and logged all changes.","score":"above 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{"check-in":"Today I trained a version of the model using adjusted label rules.","score":"above 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