Librarian Bot: Update Hugging Face dataset ID (#4)

- Librarian Bot: Update Hugging Face dataset ID (bf8a37ae515c0375d46672a412034147e99972e5)


Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>

README.md

@@ -1,101 +1,88 @@
 ---
-language: 
+language:
 - en
+license: mit
 tags:
 - text-classification
 - zero-shot-classification
-license: mit
-metrics:
-- accuracy
 datasets:
 - multi_nli
-- anli
+- facebook/anli
 - fever
 - lingnli
 - alisawuffles/WANLI
+metrics:
+- accuracy
 pipeline_tag: zero-shot-classification
-#- text-classification
-#widget:
-#- text: "I first thought that I really liked the movie, but upon second thought it was actually disappointing. [SEP] The movie was not good."
-
-model-index:  # info: https://github.com/huggingface/hub-docs/blame/main/modelcard.md
+model-index:
 - name: DeBERTa-v3-large-mnli-fever-anli-ling-wanli
   results:
   - task:
-      type: text-classification             # Required. Example: automatic-speech-recognition
-      name: Natural Language Inference             # Optional. Example: Speech Recognition
+      type: text-classification
+      name: Natural Language Inference
     dataset:
-      type: multi_nli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: MultiNLI-matched         # Required. A pretty name for the dataset. Example: Common Voice (French)
-      split: validation_matched        # Optional. Example: test
+      name: MultiNLI-matched
+      type: multi_nli
+      split: validation_matched
     metrics:
-      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 0,912       # Required. Example: 20.90
-        #name:           # Optional. Example: Test WER
-        verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
+    - type: accuracy
+      value: 0,912
+      verified: false
   - task:
-      type: text-classification             # Required. Example: automatic-speech-recognition
-      name: Natural Language Inference             # Optional. Example: Speech Recognition
+      type: text-classification
+      name: Natural Language Inference
     dataset:
-      type: multi_nli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: MultiNLI-mismatched         # Required. A pretty name for the dataset. Example: Common Voice (French)
-      split: validation_mismatched        # Optional. Example: test
+      name: MultiNLI-mismatched
+      type: multi_nli
+      split: validation_mismatched
     metrics:
-      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 0,908       # Required. Example: 20.90
-        #name:           # Optional. Example: Test WER
-        verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
+    - type: accuracy
+      value: 0,908
+      verified: false
   - task:
-      type: text-classification             # Required. Example: automatic-speech-recognition
-      name: Natural Language Inference             # Optional. Example: Speech Recognition
+      type: text-classification
+      name: Natural Language Inference
     dataset:
-      type: anli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: ANLI-all         # Required. A pretty name for the dataset. Example: Common Voice (French)
-      split: test_r1+test_r2+test_r3        # Optional. Example: test
+      name: ANLI-all
+      type: anli
+      split: test_r1+test_r2+test_r3
     metrics:
-      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 0,702       # Required. Example: 20.90
-        #name:           # Optional. Example: Test WER
-        verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
+    - type: accuracy
+      value: 0,702
+      verified: false
   - task:
-      type: text-classification             # Required. Example: automatic-speech-recognition
-      name: Natural Language Inference             # Optional. Example: Speech Recognition
+      type: text-classification
+      name: Natural Language Inference
     dataset:
-      type: anli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: ANLI-r3         # Required. A pretty name for the dataset. Example: Common Voice (French)
-      split: test_r3        # Optional. Example: test
+      name: ANLI-r3
+      type: anli
+      split: test_r3
     metrics:
-      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 0,64       # Required. Example: 20.90
-        #name:           # Optional. Example: Test WER
-        verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
+    - type: accuracy
+      value: 0,64
+      verified: false
   - task:
-      type: text-classification             # Required. Example: automatic-speech-recognition
-      name: Natural Language Inference             # Optional. Example: Speech Recognition
+      type: text-classification
+      name: Natural Language Inference
     dataset:
-      type: alisawuffles/WANLI          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: WANLI         # Required. A pretty name for the dataset. Example: Common Voice (French)
-      split: test        # Optional. Example: test
+      name: WANLI
+      type: alisawuffles/WANLI
+      split: test
     metrics:
-      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 0,77       # Required. Example: 20.90
-        #name:           # Optional. Example: Test WER
-        verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
+    - type: accuracy
+      value: 0,77
+      verified: false
   - task:
-      type: text-classification             # Required. Example: automatic-speech-recognition
-      name: Natural Language Inference             # Optional. Example: Speech Recognition
+      type: text-classification
+      name: Natural Language Inference
     dataset:
-      type: lingnli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: LingNLI         # Required. A pretty name for the dataset. Example: Common Voice (French)
-      split: test        # Optional. Example: test
+      name: LingNLI
+      type: lingnli
+      split: test
     metrics:
-      - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 0,87       # Required. Example: 20.90
-        #name:           # Optional. Example: Test WER
-        verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
-
-
-
+    - type: accuracy
+      value: 0,87
+      verified: false
 ---
 
 # DeBERTa-v3-large-mnli-fever-anli-ling-wanli