Datasets:
derek-thomas
commited on
Commit
·
1a72533
1
Parent(s):
a7d7a6b
Removed last {sep_token} to match https://arxiv.org/pdf/2005.01107v1.pdf
Browse files
Squad_V1_Question_Generation.ipynb
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"Requirement already satisfied: datasets in /opt/homebrew/Caskroom/miniconda/base/envs/flan-t5-e2e-qg/lib/python3.10/site-packages (2.9.0)\n",
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"'To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France? {sep_token} What is in front of the Notre Dame Main Building? {sep_token} The Basilica of the Sacred heart at Notre Dame is beside to which structure? {sep_token} What is the Grotto at Notre Dame? {sep_token} What sits on top of the Main Building at Notre Dame?
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"Requirement already satisfied: datasets in /opt/homebrew/Caskroom/miniconda/base/envs/flan-t5-e2e-qg/lib/python3.10/site-packages (2.9.0)\n",
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Dataset squad_modified_for_t5_qg downloaded and prepared to /Users/derekthomas/.cache/huggingface/datasets/squad_modified_for_t5_qg/plain_text/2.9.0/70f06b349eda3bddc20fbc6b57adffc86378274de644934c3b138bd7887de4f0. Subsequent calls will reuse this data.\n"
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"'To whom did the Virgin Mary allegedly appear in 1858 in Lourdes France? {sep_token} What is in front of the Notre Dame Main Building? {sep_token} The Basilica of the Sacred heart at Notre Dame is beside to which structure? {sep_token} What is the Grotto at Notre Dame? {sep_token} What sits on top of the Main Building at Notre Dame?'"
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"metadata": {},
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"output_type": "display_data"
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],
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"source": [
|
squad_modified_for_t5_qg.py
CHANGED
|
@@ -113,7 +113,7 @@ class Squad(datasets.GeneratorBasedBuilder):
|
|
| 113 |
source_text = f"generate questions: {paragraph['context'].strip()}"
|
| 114 |
questions = [qas['question'].strip() for qas in paragraph['qas']]
|
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target_text = " {sep_token} ".join(questions)
|
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-
target_text = f"{target_text}
|
| 117 |
yield key, {
|
| 118 |
"context": source_text,
|
| 119 |
"questions": target_text}
|
|
|
|
| 113 |
source_text = f"generate questions: {paragraph['context'].strip()}"
|
| 114 |
questions = [qas['question'].strip() for qas in paragraph['qas']]
|
| 115 |
target_text = " {sep_token} ".join(questions)
|
| 116 |
+
target_text = f"{target_text}"
|
| 117 |
yield key, {
|
| 118 |
"context": source_text,
|
| 119 |
"questions": target_text}
|