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README.md

@@ -1,37 +1,48 @@
 ---
-dataset_info:
-  features:
-  - name: prompt
-    dtype: string
-  - name: chosen
-    dtype: string
-  - name: rejected
-    dtype: string
-  - name: source
-    dtype: string
-  - name: defect
-    dtype: string
-  - name: negatives
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 608513
-    num_examples: 1079
-  - name: validation
-    num_bytes: 76394
-    num_examples: 134
-  - name: test
-    num_bytes: 76566
-    num_examples: 136
-  download_size: 230801
-  dataset_size: 761473
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+license: unknown
+task_categories:
+- text-generation
+tags:
+- preference
+- dpo
+- reward-model
+size_categories:
+- 1K<n<10K
 ---
+
+# SENTIMENT_ANALYSIS
+
+A preference dataset for **SENTIMENT_ANALYSIS**, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate.
+
+## Format
+
+Standard preference / DPO schema — each row:
+
+| column | meaning |
+|---|---|
+| `prompt` | the request (originally `text`) |
+| `chosen` | the human-preferred response |
+| `rejected` | a worse response to the same prompt |
+| `source` | the dataset/URL the row was harvested from |
+
+## Splits
+
+80/10/10 `train` / `validation` / `test` (seeded shuffle): train:1079 / validation:134 / test:136
+
+## Stats
+
+- **Rows:** 1349
+- **Distinct sources:** 3
+
+### Sources
+- `Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75`
+- `SetFit/amazon_polarity`
+- `cardiffnlp/tweet_eval (sentiment)`
+
+## Provenance
+
+**`prompt` and `chosen` are real** — harvested from the human-labelled sources listed above (accepted / upvoted / high-rated responses).
+
+**`rejected` is partly synthetic.** Most sources retain only the accepted answer, so where no genuine low-scored counterpart existed the negative was generated by defect injection: an LLM rewrites that row's own `chosen` with exactly one flaw introduced (omission, factual error, wrong remedy, unsupported claim, or misprioritisation) at matched length. Rows carrying a `defect` column are the generated ones; rows without it kept a negative that was present in the source.
+
+Rows passed a per-row check (negative is unique, not a stub, not spliced from `chosen`) and a whole-corpus gate for repeated negatives, length shortcuts, train/eval leakage and bag-of-words separability.