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README.md

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+---
+language:
+- en
+task_categories:
+- text-classification
+task_ids:
+- text-scoring
+pretty_name: PERSUADE 2.0 & ASAP 2.0 Essay Scoring Datasets
+size_categories:
+- 10K<n<100K
+license: other
+tags:
+- essay-scoring
+- automated-essay-scoring
+- education
+- nlp
+---
+# PERSUADE 2.0 & ASAP 2.0 — Essay Scoring Datasets
+
+Datasets for our NLP class project on Automated Essay Scoring (AES), combining two widely used student essay corpora.
+
+---
+
+## PERSUADE 2.0
+
+A large-scale corpus of argumentative and persuasive student essays (grades 6–12), annotated with discourse elements and holistic essay scores (1–6).
+
+**Files:**
+- `persuade_corpus_2.0_train.csv`
+- `persuade_corpus_2.0_test.csv`
+
+**Key columns:**
+
+| Column | Description |
+|---|---|
+| `essay_id` | Unique essay identifier |
+| `full_text` | Raw essay text |
+| `holistic_essay_score` | Overall score (1–6) |
+| `prompt_name` | Writing prompt |
+| `grade_level` | Student grade (6–12) |
+
+---
+
+## ASAP 2.0
+
+An updated version of the Automated Student Assessment Prize benchmark. Essays span 8 distinct prompts (argumentative, narrative, source-dependent) and are scored by human raters on prompt-specific rubrics.
+
+**Files:**
+- `ASAP_2_Final_github_train.csv`
+- `ASAP_2_Final_github_test.csv`
+- `ASAP2_train_sourcetexts.csv` — source texts referenced by source-dependent prompts
+
+**Key columns:**
+
+| Column | Description |
+|---|---|
+| `essay_id` | Unique essay identifier |
+| `essay_set` | Prompt ID (1–8) |
+| `full_text` | Raw essay text |
+| `domain1_score` | Primary human rater score |
+| `final_score` | Resolved score used for evaluation |