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 made a fresh copy of the check-in training file.
|
average
| 1
|
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Today I explored three evaluation metrics and visualized model output.
|
above average
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Today I assisted with organizing the shared training datasets by label type.
|
above average
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Today I worked on aligning my input format with my tokenizer.
|
average
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Today I didn’t do any new work on my dataset.
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below average
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Today I finalized a balanced version of the dataset and exported it.
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above average
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Today I opened the app but didn’t interact with the files.
|
below average
| 2
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below average
| 2
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Today I reviewed how tone and content affect label assignment.
|
above average
| 0
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Today I forgot what I was working on and didn’t review anything.
|
below average
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Today I contributed to the shared repo with documented changes.
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above average
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Today I waited until the last minute and gave up on progress.
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below average
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Today I created a basic evaluation function.
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Today I copied some code from the tutorial and tested it in my notebook.
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Today I built a CSV version of our labeled data for training.
|
above average
| 0
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Today I wasted time on distractions and avoided the project.
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below average
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Today I stayed in the planning phase and didn’t write anything.
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below average
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Today I created a GitHub repository to track my training progress.
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below average
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Today I designed a set of training questions for future team members.
|
above average
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Today I had trouble understanding the instructions and gave up.
|
below average
| 2
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Today I created a summary of the changes I made this week.
|
average
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Today I opened the notebook but didn’t do any work.
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below average
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Today I hesitated too long and didn’t make use of the time.
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below average
| 2
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|
below average
| 2
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|
below average
| 2
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Today I added more examples to my dataset.
|
average
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Today I printed out a few examples and compared their predictions.
|
average
| 1
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Today I tested my model with a variety of sentence types.
|
average
| 1
|
[
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Today I edited some examples to remove redundancy.
|
average
| 1
|
[
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Today I refactored some sections of my code.
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Today I started fresh on a clean copy of the average-labeled file.
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|
below average
| 2
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Today I let time pass and didn’t even open the workspace.
|
below average
| 2
|
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Today I conducted a review of false positive predictions and created improvement notes.
|
above average
| 0
|
[
101,
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Today I joined the meeting but stayed silent the whole time.
|
below average
| 2
|
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Today I tried adjusting learning rate and reran training.
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Today I reran my model to double-check its output.
|
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Today I wrote a training log summary for our internship update.
|
above average
| 0
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Today I created a short list of improvements to try later.
|
average
| 1
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Today I waited too long to start and didn’t make progress.
|
below average
| 2
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Today I wrote detailed steps for retraining and shared them with my mentor.
|
above average
| 0
|
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Today I looked at the requirements but didn’t act on them.
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below average
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Today I completed basic cleaning of the classification dataset.
|
average
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Today I didn’t have time to think about the check-in task.
|
below average
| 2
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Today I edited a few check-in examples to better match their labels.
|
average
| 1
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Today I looked at my dataset but didn’t add new entries.
|
below average
| 2
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Today I edited over 15 check-ins for tone and consistency.
|
above average
| 0
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Today I worked on improving the clarity of a few check-ins.
|
average
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Today I stared at the notebook and felt unsure where to start.
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below average
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Today I corrected and enhanced dataset documentation.
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Today I experimented with validation accuracy on average-labeled entries.
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|
below average
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Today I labeled examples for my classification model.
|
average
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Today I shared my final model results and how I achieved them.
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Today I added brief comments to explain each function in the script.
|
average
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Today I tried a different batch size to see if training stabilized.
|
average
| 1
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Today I analyzed the most common model mistakes and drafted improvements.
|
above average
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Today I worked on fixing a formatting issue in my labels.
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average
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Today I joined the session but didn’t participate.
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below average
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Today I went through previous examples and edited their wording.
|
average
| 1
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Today I tried tagging check-ins by tone as well.
|
average
| 1
|
[
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Today I updated and ran the test script with three new example check-ins.
|
above average
| 0
|
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Today I didn’t complete any of the goals I set last time.
|
below average
| 2
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Today I completed my model and tested it with new data.
|
above average
| 0
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Today I pushed small edits to my model notebook.
|
average
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Today I had a hard time starting and didn’t write anything new.
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below average
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Today I checked Slack but didn’t work on my task.
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below average
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Today I saw my errors but didn’t fix them.
|
below average
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Today I adjusted my data formatting for consistency.
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average
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Today I avoided everything that could’ve helped me make progress.
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below average
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Today I revised the most confusing check-ins to clarify intent.
|
above average
| 0
|
[
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2651,
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Today I didn’t reach out even though I was stuck.
|
below average
| 2
|
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Today I cleaned and labeled 50 new examples for classification.
|
above average
| 0
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Today I didn’t have time to make any changes.
|
below average
| 2
|
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Today I reviewed the check-ins labeled as average and updated a few.
|
average
| 1
|
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101,
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1045,
8182,
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4638,
1011,
16021,
12599,
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2779,
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Today I avoided opening my progress tracker.
|
below average
| 2
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Today I labeled entries with middle-of-the-road effort as average.
|
average
| 1
|
[
101,
2651,
1045,
12599,
10445,
2007,
2690,
1011,
1997,
1011,
1996,
1011,
2346,
3947,
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Today I added a timestamp to each check-in entry.
|
average
| 1
|
[
101,
2651,
1045,
2794,
1037,
2335,
15464,
2361,
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2169,
4638,
1011,
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4443,
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Today I avoided my main task because it felt difficult.
|
below average
| 2
|
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Today I opened the model logs and looked at the accuracy over time.
|
average
| 1
|
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Today I updated the class definitions and reviewed label distribution.
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Today I labeled borderline examples more carefully to avoid bias.
|
above average
| 0
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Today I was distracted and didn’t contribute to the project.
|
below average
| 2
|
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Today I logged off early and didn’t complete the check-in.
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below average
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Today I updated my dataset file with new examples.
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average
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|
below average
| 2
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Today I lost track of time and missed my work session.
|
below average
| 2
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Today I trained a version of the model using adjusted label rules.
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Today I spent time doing unrelated things and ignored the check-in.
|
below average
| 2
|
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