Update README.md

README.md

@@ -51,50 +51,6 @@ tags:
 size_categories:
 - n<1K
 ---
----
-configs:
-- config_name: measeval
-  data_files:
-  - split: train
-    path: "measeval_paragraph_level_no_spans_train.json"
-  - split: val
-    path: "measeval_paragraph_level_no_spans_val.json"
-  - split: test
-    path: "measeval_paragraph_level_no_spans_test.json"
-- config_name: bm
-  data_files:
-  - split: train
-    path: "bm_paragraph_level_no_spans_train.json"
-  - split: val
-    path: "bm_paragraph_level_no_spans_val.json"
-  - split: test
-    path: "bm_paragraph_level_no_spans_test.json"
-- config_name: msp
-  data_files:
-  - split: train
-    path: "msp_paragraph_level_no_spans_train.json"
-  - split: val
-    path: "msp_paragraph_level_no_spans_val.json"
-  - split: test
-    path: "msp_paragraph_level_no_spans_test.json"
-- config_name: all
-  data_files:
-  - split: train
-    path: 
-    - "measeval_paragraph_level_no_spans_train.json"
-    - "bm_paragraph_level_no_spans_train.json"
-    - "msp_paragraph_level_no_spans_train.json"
-  - split: val
-    path:
-    - "measeval_paragraph_level_no_spans_val.json"
-    - "bm_paragraph_level_no_spans_val.json"
-    - "msp_paragraph_level_no_spans_val.json"
-  - split: test
-    path:
-    - "measeval_paragraph_level_no_spans_test.json"
-    - "bm_paragraph_level_no_spans_test.json"
-    - "msp_paragraph_level_no_spans_test.json"
-    
 
 # A Multi-Domain Corpus for Measurement Extraction (Seq2Seq variant)
 
@@ -104,8 +60,23 @@ A detailed description of corpus creation can be found [here](https://aclantholo
 This dataset contains the training and validation and test data for each of the three datasets `measeval`, `bm`, and `msp`. The `measeval`, and `msp` datasets were adapted from the [MeasEval (Harper et al., 2021)](https://github.com/harperco/MeasEval) and the [Material Synthesis Procedual (Mysore et al., 2019)](https://github.com/olivettigroup/annotated-materials-syntheses) corpus respectively.
 
 This repository aggregates extraction to paragraph-level for msp and measeval. Labels are given in json-format as preparation for seq2seq training.
-One standard instruction is given, such that such a prompt can be generated by merging text and extraction columns:
 
+
+# How to load
+
+```python
+from datasets import load_dataset
+
+# Only train, all domains
+train_dataset = load_dataset("liy140/multidomain-measextract-corpus", "all", split="train")
+
+# All measeval data
+measeval_dataset = load_dataset("liy140/multidomain-measextract-corpus", "measeval", split=["train", "val", "test"])
+```
+
+# Create Seq2Seq samples
+
+One standard instruction is given, such that such a prompt can be generated by merging text and extraction columns:
 ```
 ### Instruction
 
@@ -154,16 +125,4 @@ The H/H+ transition in the MC09 model occurs near 1.4Rp. If we replace the gray
         "unit": "ppm by mass"
     }
 ]
-```
-
-# How to load
-
-```python
-from datasets import load_dataset
-
-# Only train, all domains
-train_dataset = load_dataset("liy140/multidomain-measextract-corpus", "all", split="train")
-
-# All measeval data
-measeval_dataset = load_dataset("liy140/multidomain-measextract-corpus", "measeval", split=["train", "val", "test"])
 ```