add readme

README.md

@@ -14,7 +14,7 @@ pretty_name: "LlamaLens: Specialized Multilingual LLM for Analyzing News and Soc
 size_categories:
   - 10K<n<100K
 dataset_info:
-  - config_name: Sentiment Analysis
+  - config_name: Sentiment_Analysis
     splits:
       - name: train
         num_examples: 10039
@@ -30,7 +30,7 @@ dataset_info:
         num_examples: 2219
       - name: test
         num_examples: 1000
-  - config_name: Offensive Speech Detection
+  - config_name: Offensive_Speech_Detection
     splits:
       - name: train
         num_examples: 2172
@@ -79,14 +79,14 @@ dataset_info:
       - name: test
         num_examples: 447
 configs:
-  - config_name: Sentiment Analysis
+  - config_name: Sentiment_Analysis
     data_files:
       - split: test
-        path: Sentiment Analysis/test.json
+        path: Sentiment_Analysis/test.json
       - split: dev
-        path: Sentiment Analysis/dev.json
+        path: Sentiment_Analysis/dev.json
       - split: train
-        path: Sentiment Analysis/train.json
+        path: Sentiment_Analysis/train.json
   - config_name: MC_Hinglish1
     data_files:
       - split: test
@@ -95,14 +95,14 @@ configs:
         path: MC_Hinglish1/dev.json
       - split: train
         path: MC_Hinglish1/train.json
-  - config_name: Offensive Speech Detection
+  - config_name: Offensive_Speech_Detection
     data_files:
       - split: test
-        path: Offensive Speech Detection/test.json
+        path: Offensive_Speech_Detection/test.json
       - split: dev
-        path: Offensive Speech Detection/dev.json
+        path: Offensive_Speech_Detection/dev.json
       - split: train
-        path: Offensive Speech Detection/train.json
+        path: Offensive_Speech_Detection/train.json
   - config_name: xlsum
     data_files:
       - split: test
@@ -175,8 +175,8 @@ This repo includes scripts needed to run our full pipeline, including data prepr
 | Hate Speech                | Hindi-Hostility-Detection-CONSTRAINT-2021 | 15           | 5,718       | 1,651      | 811       |
 | Natural Language Inference | Natural Language Inference                | 2            | 1,251       | 447        | 537       |
 | Summarization              | xlsum                                     | --           | 70,754      | 8,847      | 8,847     |
-| Offensive Speech           | Offensive Speech Detection                | 3            | 2,172       | 636        | 318       |
-| Sentiment                  | Sentiment Analysis                        | 3            | 10,039      | 1,259      | 1,258     |
+| Offensive Speech           | Offensive_Speech_Detection                | 3            | 2,172       | 636        | 318       |
+| Sentiment                  | Sentiment_Analysis                        | 3            | 10,039      | 1,259      | 1,258     |
 
 ---
 
@@ -202,7 +202,7 @@ Each JSONL file in the dataset follows a structured format with the following fi
         "original_id": null,
         "input": "sub गंदा है पर धंधा है ये . .",
         "output": "neutral",
-        "dataset": "Sentiment Analysis",
+        "dataset": "Sentiment_Analysis",
         "task": "Sentiment",
         "lang": "hi",
         "instruction": "Identify the sentiment in the text and label it as positive, negative, or neutral. Return only the label without any explanation, justification or additional text."