check-in
stringlengths 24
87
| score
stringclasses 3
values | label
int64 0
2
| input_ids
listlengths 512
512
| attention_mask
listlengths 512
512
|
|---|---|---|---|---|
Today I saved a copy of my labeled examples to use in Colab.
|
average
| 1
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Today I was unsure how to measure my progress and didn’t record anything.
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below average
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Today I wrote notes on how each label type can be better identified by the model.
|
above average
| 0
|
[
101,
2651,
1045,
2626,
3964,
2006,
2129,
2169,
3830,
2828,
2064,
2022,
2488,
4453,
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1996,
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Today I conducted model evaluation using both manual and automated methods.
|
above average
| 0
|
[
101,
2651,
1045,
4146,
2944,
9312,
2478,
2119,
6410,
1998,
12978,
4725,
1012,
102,
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Today I updated my validation method.
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Today I didn’t make any forward progress on my task.
|
below average
| 2
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Today I helped identify mislabeled examples in a teammate’s data file.
|
above average
| 0
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Today I revisited my notebook and fixed some formatting issues.
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average
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Today I reviewed model predictions and improved 10 borderline examples.
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Today I cleaned some duplicate entries in my JSONL file.
|
average
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Today I stayed in planning mode without starting the task.
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below average
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Today I tested the training pipeline one more time to ensure stability.
|
average
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Today I sorted my dataset entries alphabetically for organization.
|
average
| 1
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Today I opened the feedback but didn’t read it.
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below average
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Today I missed my work time and didn’t follow up.
|
below average
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Today I felt unsure and didn’t even attempt to work.
|
below average
| 2
|
[
101,
2651,
1045,
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Today I didn’t know what task to work on.
|
below average
| 2
|
[
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1045,
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1521,
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Today I wrote suggestions for future dataset improvements.
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Today I adjusted the dataset to reflect more balance.
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average
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Today I cleaned the entire dataset and restructured it for training.
|
above average
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Today I reviewed model error patterns and improved my dataset labels.
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above average
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Today I stared at my code but didn’t know how to fix it.
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below average
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Today I re-read the instructions but didn’t apply them.
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below average
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Today I prepared sample check-ins for team testing.
|
above average
| 0
|
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Today I sat at my screen but couldn’t decide where to begin.
|
below average
| 2
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Today I created a walkthrough of my model training and testing process.
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above average
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Today I polished my notes and shared final model metrics.
|
above average
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|
below average
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Today I only thought about what I should be doing.
|
below average
| 2
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below average
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Today I polished up the language in my dataset.
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average
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Today I avoided my model notebook because I didn’t feel ready.
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below average
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Today I took time to label evenly across each check-in group.
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average
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Today I reviewed sample check-ins and brainstormed improvements.
|
average
| 1
|
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Today I summarized my model results in a markdown file.
|
above average
| 0
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|
below average
| 2
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|
below average
| 2
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below average
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Today I looked at old notes but didn’t move forward.
|
below average
| 2
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Today I tried different learning rates in my training loop.
|
average
| 1
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Today I had the chance to work but chose not to.
|
below average
| 2
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Today I told myself I would work but didn’t follow through.
|
below average
| 2
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Today I generated predictions using a batch of average check-ins.
|
average
| 1
|
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Today I revised the check-in examples with clearer language.
|
average
| 1
|
[
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Today I felt overwhelmed and didn’t get started.
|
below average
| 2
|
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Today I ran a full test suite on the updated model.
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above average
| 0
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Today I merged cleaned datasets and verified all label distributions.
|
above average
| 0
|
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Today I checked my messages but didn’t get started on my task.
|
below average
| 2
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Today I proposed new features to help refine the check-in evaluation process.
|
above average
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Today I exported my model and checked the file structure.
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average
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Today I ignored feedback and didn’t apply suggestions.
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below average
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Today I validated the formatting of all check-in labels.
|
above average
| 0
|
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Today I trained the final model with balanced data and submitted results.
|
above average
| 0
|
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Today I checked in but had no updates to share.
|
below average
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Today I tested predictions with new examples from my dataset.
|
average
| 1
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Today I resolved several merge conflicts in the team dataset.
|
above average
| 0
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Today I reviewed which check-ins fell under the average category.
|
average
| 1
|
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Today I corrected label imbalances and reran model training with great results.
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Today I organized my training code into modular blocks.
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Today I stayed in planning mode and didn’t take action.
|
below average
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Today I documented what I completed in my notebook.
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Today I opened the dataset but didn’t make any updates.
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Today I tweaked the number of epochs for my model training.
|
average
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Today I proactively improved dataset balance by adding new rows.
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above average
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Today I refined a few check-in labels and checked for consistency.
|
average
| 1
|
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Today I was inactive due to other responsibilities.
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below average
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Today I ran all check-in predictions through the model for review.
|
above average
| 0
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Today I created a script to automatically generate prediction reports.
|
above average
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Today I prepared a short tutorial on using JSONL in Hugging Face.
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above average
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Today I cleaned up punctuation in the dataset.
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average
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Today I practiced rerunning training with slightly different parameters.
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average
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Today I added visual tracking of accuracy over multiple runs.
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above average
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Today I forgot to check my messages and fell behind.
|
below average
| 2
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Today I built a scoring rubric to guide check-in classification.
|
above average
| 0
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Today I included a confusion matrix in my evaluation summary.
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above average
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Today I helped organize our check-in dataset for easier reuse.
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below average
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Today I worked on labeling several check-ins.
|
average
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Today I led a short discussion on improving our model evaluation methods.
|
above average
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|
below average
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Today I recorded the number of examples per category.
|
average
| 1
|
[
101,
2651,
1045,
2680,
1996,
2193,
1997,
4973,
2566,
4696,
1012,
102,
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Today I forgot the topic I was working on.
|
below average
| 2
|
[
101,
2651,
1045,
9471,
1996,
8476,
1045,
2001,
2551,
2006,
1012,
102,
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Today I reviewed my dataset but didn’t touch any labels.
|
below average
| 2
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Today I worked through most of my checklist.
|
average
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Today I started training and recorded my initial results.
|
average
| 1
|
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Today I documented the meaning of each score category.
|
above average
| 0
|
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Today I trained my model with the updated data.
|
average
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Today I didn’t share anything with my team.
|
below average
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Today I saved the latest model output for later review.
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average
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Today I didn’t attempt to check my progress or results.
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Today I sat down to work but felt too anxious to start.
|
below average
| 2
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Today I prepared a demo set with average responses for testing.
|
average
| 1
|
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Today I created new test inputs that represent edge cases.
|
above average
| 0
|
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Subsets and Splits
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