| --- |
| dataset_info: |
| features: |
| - name: claim_id |
| dtype: int64 |
| - name: claim |
| dtype: string |
| - name: evidence |
| dtype: string |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': SUPPORTS |
| '1': REFUTES |
| '2': NOT_ENOUGH_INFO |
| - name: category |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 1467456 |
| num_examples: 4298 |
| - name: test |
| num_bytes: 526276 |
| num_examples: 1535 |
| - name: valid |
| num_bytes: 635174 |
| num_examples: 1842 |
| download_size: 1372892 |
| dataset_size: 2628906 |
| license: mit |
| task_categories: |
| - text-classification |
| language: |
| - en |
| tags: |
| - climate |
| pretty_name: climate_fever dataset with one-to-one claim-evidence pair |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Dataset Card for "climate_fever_fixed" |
|
|
| ### Dataset Summary |
|
|
| This dataset was created to aid our team in developing a model to more accurately perform climate change-related fact checking. We approach this task from a perspective heavily impacted |
| by the work of the [ClimateBERT](https://climatebert.ai/about) team. With that in mind, our team likewise leveraged a BERT Language model to solve this task. This dataset presents an |
| edited version of the [Climate_Fever](https://huggingface.co/datasets/climate_fever) dataset, hosted by HuggingFace. Climate_Fever is composed of climate-related documents |
| that have been annotated with labels related to fact-checking and misinformation. However, in the climate-plus project, we decided to modify the dataset to remove redundancy |
| and keep only the essentials of a text-entailment problem: claim as the premise and evidence as the hypothesis. |
| |
| |
| |
| ### Data Fields |
| |
| This dataset contains 7675 records, each of which is composed of several attributes: |
| |
| - `claim_id`: a `integer` feature, which serves as a unique identifier for each record/row. |
| - `claim`: a `string` feature, containes the raw text of a given climate-related claim. |
| - `evidence`: a `string` feature, which provides free text evidence that relates to the previously established claim. |
| - `label`: a `class label` feature representing an assigned class, where values can either be 0: "supports", 1: "refutes" and 2: "not enough info". |
| - `category`: a `string` feature, which provides additional detail about the particular focus of a given claim. |
|
|
| <br> |
| This dataset was then broken into train, test and validation sets to enable proper evaluation of our model. These splits contain the following amount of data: |
|
|
| - `Train`: 4300 Records |
| - `Test`: 1540 Records |
| - `Val`: 1840 Records |
|
|
| ### Source Data |
|
|
| This dataset represents an evolved version of the original [Climate_Fever](https://huggingface.co/datasets/climate_fever) dataset, hosted by HuggingFace. It was adapted to meet |
| the needs of our team, as we attempted to solve a specific climate change-related task. The original dataset adopted the FEVER methodology, discussed in more detail [here](https://www.amazon.science/blog/the-fever-data-set-what-doesnt-kill-it-will-make-it-stronger). |
| Their original dataset consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence |
| sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. |
|
|
|
|
| ### Methodology |
|
|
| This dataset was curated by our team to reduce redundancy and keep only the essentials of a text-entailment problem: claim as the premise and evidence as the hypothesis. |
| For each given claim, there are multiple sentences of evidence. We decided to expand the one-to-many relation to one-to-one. |
| This resulted in a modified version of the climate_fever dataset that includes only one evidence sentence per claim. |
| |
| |
| ### Languages |
| |
| The text contained in the dataset is entirely in English, as found in the real-world financial disclosures identified by the TCFD. The associated BCP-47 code is [`en`](https://www.techonthenet.com/js/language_tags.php), to ensure clear labeling of language usage for downstream tasks and other future applications. |
| |
| [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
