Duplicate from stanfordnlp/sst2

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README.md

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+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- found
+language:
+- en
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- text-classification
+task_ids:
+- sentiment-classification
+paperswithcode_id: sst
+pretty_name: Stanford Sentiment Treebank v2
+dataset_info:
+  features:
+  - name: idx
+    dtype: int32
+  - name: sentence
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': negative
+          '1': positive
+  splits:
+  - name: train
+    num_bytes: 4681603
+    num_examples: 67349
+  - name: validation
+    num_bytes: 106252
+    num_examples: 872
+  - name: test
+    num_bytes: 216640
+    num_examples: 1821
+  download_size: 3331058
+  dataset_size: 5004495
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:** https://nlp.stanford.edu/sentiment/
+- **Repository:**
+- **Paper:** [Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank](https://www.aclweb.org/anthology/D13-1170/)
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+The Stanford Sentiment Treebank is a corpus with fully labeled parse trees that allows for a complete analysis of the
+compositional effects of sentiment in language. The corpus is based on the dataset introduced by Pang and Lee (2005)
+and consists of 11,855 single sentences extracted from movie reviews. It was parsed with the Stanford parser and
+includes a total of 215,154 unique phrases from those parse trees, each annotated by 3 human judges.
+
+Binary classification experiments on full sentences (negative or somewhat negative vs somewhat positive or positive
+with neutral sentences discarded) refer to the dataset as SST-2 or SST binary.
+
+### Supported Tasks and Leaderboards
+
+- `sentiment-classification`
+
+### Languages
+
+The text in the dataset is in English (`en`).
+
+## Dataset Structure
+
+### Data Instances
+
+```
+{'idx': 0,
+ 'sentence': 'hide new secretions from the parental units ',
+ 'label': 0}
+```
+
+### Data Fields
+
+- `idx`: Monotonically increasing index ID.
+- `sentence`: Complete sentence expressing an opinion about a film.
+- `label`: Sentiment of the opinion, either "negative" (0) or positive (1). The test set labels are hidden (-1).
+
+### Data Splits
+
+|                    |    train | validation | test |
+|--------------------|---------:|-----------:|-----:|
+| Number of examples |    67349 |        872 | 1821 |
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+Rotten Tomatoes reviewers.
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+Unknown.
+
+### Citation Information
+
+```bibtex
+@inproceedings{socher-etal-2013-recursive,
+    title = "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank",
+    author = "Socher, Richard  and
+      Perelygin, Alex  and
+      Wu, Jean  and
+      Chuang, Jason  and
+      Manning, Christopher D.  and
+      Ng, Andrew  and
+      Potts, Christopher",
+    booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
+    month = oct,
+    year = "2013",
+    address = "Seattle, Washington, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/D13-1170",
+    pages = "1631--1642",
+}
+```
+
+### Contributions
+
+Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.

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