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--- |
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dataset_info: |
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features: |
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- name: claim_id |
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dtype: int64 |
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- name: claim |
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dtype: string |
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- name: evidence |
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dtype: string |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': SUPPORTS |
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'1': REFUTES |
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'2': NOT_ENOUGH_INFO |
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- name: category |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 1467456 |
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num_examples: 4298 |
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- name: test |
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num_bytes: 526276 |
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num_examples: 1535 |
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- name: valid |
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num_bytes: 635174 |
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num_examples: 1842 |
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download_size: 1372892 |
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dataset_size: 2628906 |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- climate |
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pretty_name: climate_fever dataset with one-to-one claim-evidence pair |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for "climate_fever_fixed" |
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### Dataset Summary |
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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 |
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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 |
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edited version of the [Climate_Fever](https://huggingface.co/datasets/climate_fever) dataset, hosted by HuggingFace. Climate_Fever is composed of climate-related documents |
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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 |
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and keep only the essentials of a text-entailment problem: claim as the premise and evidence as the hypothesis. |
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### Data Fields |
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This dataset contains 7675 records, each of which is composed of several attributes: |
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- `claim_id`: a `integer` feature, which serves as a unique identifier for each record/row. |
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- `claim`: a `string` feature, containes the raw text of a given climate-related claim. |
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- `evidence`: a `string` feature, which provides free text evidence that relates to the previously established claim. |
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- `label`: a `class label` feature representing an assigned class, where values can either be 0: "supports", 1: "refutes" and 2: "not enough info". |
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- `category`: a `string` feature, which provides additional detail about the particular focus of a given claim. |
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<br> |
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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: |
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- `Train`: 4300 Records |
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- `Test`: 1540 Records |
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- `Val`: 1840 Records |
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### Source Data |
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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 |
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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). |
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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 |
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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. |
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### Methodology |
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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. |
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For each given claim, there are multiple sentences of evidence. We decided to expand the one-to-many relation to one-to-one. |
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This resulted in a modified version of the climate_fever dataset that includes only one evidence sentence per claim. |
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### Languages |
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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. |
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
