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Update files from the datasets library (from 1.9.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.9.0

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  1. README.md +6 -6
README.md CHANGED
@@ -80,7 +80,7 @@ The text in the dataset is in English, as found in real-world claims about clima
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  {
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  "claim_id": "0",
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  "claim": "Global warming is driving polar bears toward extinction",
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- "claim_label": 1, # "SUPPORTS"
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  "evidences": [
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  {
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  "evidence_id": "Extinction risk from global warming:170",
@@ -98,7 +98,7 @@ The text in the dataset is in English, as found in real-world claims about clima
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  },
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  {
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  "evidence_id": "Global warming:14",
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- "evidence_label": 1, # "SUPPORTS"
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  "article": "Global warming",
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  "evidence": "Environmental impacts include the extinction or relocation of many species as their ecosystems change, most immediately the environments of coral reefs, mountains, and the Arctic.",
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  "entropy": 0.0,
@@ -126,7 +126,7 @@ The text in the dataset is in English, as found in real-world claims about clima
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  },
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  {
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  "evidence_id": "Habitat destruction:61",
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- "evidence_label": 1, # "SUPPORTS"
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  "article": "Habitat destruction",
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  "evidence": "Rising global temperatures, caused by the greenhouse effect, contribute to habitat destruction, endangering various species, such as the polar bear.",
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  "entropy": 0.0,
@@ -160,10 +160,10 @@ The text in the dataset is in English, as found in real-world claims about clima
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  - `claim_id`: a `string` feature, unique claim identifier.
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  - `claim`: a `string` feature, claim text.
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- - `claim_label`: a `int` feature, overall label assigned to claim (based on evidence majority vote). The label correspond to 0: "refutes", 1: "supports" and 2: "not enough info"
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  - `evidences`: a list of evidences with fields:
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  - `evidence_id`: a `string` feature, unique evidence identifier.
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- - `evidence_label`: a `int` feature, micro-verdict label. The label correspond to 0: "refutes", 1: "supports" and 2: "not enough info"
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  - `article`: a `string` feature, title of source article (Wikipedia page).
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  - `evidence`: a `string` feature, evidence sentence.
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  - `entropy`: a `float32` feature, entropy reflecting uncertainty of `evidence_label`.
@@ -242,4 +242,4 @@ This benchmark dataset currently consists of a single data split `test` that con
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  ### Contributions
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- Thanks to [@tdiggelm](https://github.com/tdiggelm) for adding this dataset.
 
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  {
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  "claim_id": "0",
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  "claim": "Global warming is driving polar bears toward extinction",
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+ "claim_label": 0, # "SUPPORTS"
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  "evidences": [
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  {
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  "evidence_id": "Extinction risk from global warming:170",
 
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  },
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  {
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  "evidence_id": "Global warming:14",
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+ "evidence_label": 0, # "SUPPORTS"
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  "article": "Global warming",
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  "evidence": "Environmental impacts include the extinction or relocation of many species as their ecosystems change, most immediately the environments of coral reefs, mountains, and the Arctic.",
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  "entropy": 0.0,
 
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  },
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  {
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  "evidence_id": "Habitat destruction:61",
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+ "evidence_label": 0, # "SUPPORTS"
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  "article": "Habitat destruction",
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  "evidence": "Rising global temperatures, caused by the greenhouse effect, contribute to habitat destruction, endangering various species, such as the polar bear.",
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  "entropy": 0.0,
 
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  - `claim_id`: a `string` feature, unique claim identifier.
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  - `claim`: a `string` feature, claim text.
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+ - `claim_label`: a `int` feature, overall label assigned to claim (based on evidence majority vote). The label correspond to 0: "supports", 1: "refutes", 2: "not enough info" and 3: "disputed".
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  - `evidences`: a list of evidences with fields:
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  - `evidence_id`: a `string` feature, unique evidence identifier.
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+ - `evidence_label`: a `int` feature, micro-verdict label. The label correspond to 0: "supports", 1: "refutes" and 2: "not enough info".
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  - `article`: a `string` feature, title of source article (Wikipedia page).
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  - `evidence`: a `string` feature, evidence sentence.
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  - `entropy`: a `float32` feature, entropy reflecting uncertainty of `evidence_label`.
 
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  ### Contributions
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+ Thanks to [@tdiggelm](https://github.com/tdiggelm) for adding this dataset.