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fix(data-management): update canonical hugging face dataset paths and configs #180

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fix(data-management): update canonical hugging face dataset paths and configs #180

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b0b1423
fix: update dataset path for Rotten Tomatoes in load_and_inspect and …
GovIndLok May 25, 2026
26ffdb5
fix: improve formatting of dataset split print statements
GovIndLok May 25, 2026
01e177c
fix: update Hugging Face IDs for dataset recommendations in prompt-da…
GovIndLok May 25, 2026
d942a60
Merge branch 'main' into fix/rotten_tomato
GovIndLok May 25, 2026
961aa8b
fix: update Hugging Face IDs and configurations in dataset recommenda…
GovIndLok May 26, 2026
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5 changes: 2 additions & 3 deletions phases/00-setup-and-tooling/09-data-management/code/data_utils.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,3 @@
import os
import sys
import json
import hashlib
Expand Down Expand Up @@ -159,10 +158,10 @@ def fingerprint(ds, num_rows: int = 100):
print("=" * 60)

print("\n--- 1. Load and inspect a dataset ---")
ds = load_and_inspect("rotten_tomatoes", split="train")
ds = load_and_inspect("cornell-movie-review-data/rotten_tomatoes", split="train")

print("\n--- 2. Stream a dataset ---")
rows = stream_dataset("rotten_tomatoes", max_rows=3)
rows = stream_dataset("cornell-movie-review-data/rotten_tomatoes", max_rows=3)
for row in rows:
print(f" {row['text'][:80]}...")

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18 changes: 9 additions & 9 deletions phases/00-setup-and-tooling/09-data-management/outputs/prompt-data-helper.md
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Expand Up @@ -33,15 +33,15 @@ Common task-to-dataset mapping:

| Task | Starter Dataset | HF ID |
|------|----------------|-------|
| Text classification | Rotten Tomatoes | `rotten_tomatoes` |
| Sentiment analysis | IMDB | `imdb` |
| Natural language inference | MNLI | `glue/mnli` |
| Question answering | SQuAD | `squad` |
| Summarization | CNN/DailyMail | `cnn_dailymail` |
| Translation | WMT | `wmt16` |
| Language modeling | WikiText | `wikitext` |
| Token classification | CoNLL-2003 | `conll2003` |
| Image classification | MNIST / CIFAR-10 | `mnist` / `cifar10` |
| Text classification | Rotten Tomatoes | `cornell-movie-review-data/rotten_tomatoes` |
| Sentiment analysis | IMDB | `stanfordnlp/imdb` |
| Natural language inference | MNLI | `nyu-mll/glue` (config:`mnli`) |
| Question answering | SQuAD | `rajpurkar/squad` |
| Summarization | CNN/DailyMail | `abisee/cnn_dailymail`(config: `3.0.0`) |
| Translation | WMT | `wmt/wmt16`(config: `cs-en`) |
| Language modeling | WikiText | `Salesforce/wikitext` |
| Token classification | CoNLL-2003 | `lhoestq/conll2003` |
| Image classification | MNIST / CIFAR-10 | `ylecun/mnist` / `uoft-cs/cifar10` |
| Object detection | COCO | `detection-datasets/coco` |

When recommending, prefer smaller datasets for learning and prototyping. Suggest larger datasets only when the user is ready to train at scale.
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