Upload folder using huggingface_hub

.gitattributes

@@ -1,59 +1,4 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mds filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text
+# SCM syntax highlighting & preventing 3-way merges
+pixi.lock merge=binary linguist-language=YAML linguist-generated=true
+jul-28-evaluation-tables.json filter=lfs diff=lfs merge=lfs -text
+results.csv filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,3 @@
+# pixi environments
+.pixi/*
+!.pixi/config.toml

README.md

@@ -1,3 +1,68 @@
----
-license: apache-2.0
----
+# Process data from paperswithcode
+
+See https://huggingface.co/datasets/pwc-archive/files/tree/main.
+
+Download and unzip evaluation tables:
+
+```bash
+curl -L -O "https://huggingface.co/datasets/pwc-archive/files/resolve/main/jul-28-evaluation-tables.json.gz"
+gunzip jul-28-evaluation-tables.json.gz
+```
+
+Install jq.
+See https://jqlang.org/.
+If on Debian/Ubuntu, install with `sudo apt-get install jq`.
+
+Example jq to extract:
+
+```bash
+jq -r '
+  def process(parent):
+    .task as $current_task |
+    (if parent then parent + " > " + $current_task else $current_task end) as $full_path |
+    (.datasets[]? |
+      .dataset as $dataset |
+      .sota.rows[]? |
+      {
+        task_path: $full_path,
+        dataset: $dataset,
+        model_name: .model_name,
+        paper_url: .paper_url,
+        metrics: .metrics
+      }
+    ),
+    (.subtasks[]? | process($full_path));
+  
+  ["task_path", "dataset", "model_name", "paper_url", "metric_name", "metric_value"],
+  (
+    [.[] | process(null)] |
+    .[] |
+    [.task_path, .dataset, .model_name, .paper_url] + 
+    (.metrics | to_entries[] | [.key, .value]) |
+    flatten
+  ) |
+  @csv
+' jul-28-evaluation-tables.json > results.csv
+```
+
+Should get 326,393 rows in results.csv and looks like this:
+
+```bash
+~/paperswithcode-data> nu -c "open results.csv | length"
+# 326393
+~/paperswithcode-data> nu -c "open results.csv | skip 100 | take 10"
+# ╭───┬────────────────────────────────────────────────────────────────────┬─────────────────┬───────────────┬────────────────────────────────────┬─────────────┬──────────────╮
+# │ # │                             task_path                              │     dataset     │  model_name   │             paper_url              │ metric_name │ metric_value │
+# ├───┼────────────────────────────────────────────────────────────────────┼─────────────────┼───────────────┼────────────────────────────────────┼─────────────┼──────────────┤
+# │ 0 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ HTR-VT        │ https://arxiv.org/abs/2409.08573v1 │ Test CER    │         2.80 │
+# │ 1 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ HTR-VT        │ https://arxiv.org/abs/2409.08573v1 │ Test WER    │         7.40 │
+# │ 2 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ OrigamiNet-24 │ https://arxiv.org/abs/2006.07491v1 │ Test CER    │         3.00 │
+# │ 3 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ OrigamiNet-24 │ https://arxiv.org/abs/2006.07491v1 │ Test WER    │        11.00 │
+# │ 4 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ OrigamiNet-18 │ https://arxiv.org/abs/2006.07491v1 │ Test CER    │         3.10 │
+# │ 5 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ OrigamiNet-18 │ https://arxiv.org/abs/2006.07491v1 │ Test WER    │        11.10 │
+# │ 6 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ OrigamiNet-12 │ https://arxiv.org/abs/2006.07491v1 │ Test CER    │         3.10 │
+# │ 7 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ OrigamiNet-12 │ https://arxiv.org/abs/2006.07491v1 │ Test WER    │        11.20 │
+# │ 8 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ TrOCR         │ https://arxiv.org/abs/2109.10282v5 │ Test CER    │         3.60 │
+# │ 9 │ Optical Character Recognition (OCR) > Handwritten Text Recognition │ LAM(line-level) │ TrOCR         │ https://arxiv.org/abs/2109.10282v5 │ Test WER    │        11.60 │
+# ╰───┴────────────────────────────────────────────────────────────────────┴─────────────────┴───────────────┴────────────────────────────────────┴──��──────────┴──────────────╯
+```

jul-28-evaluation-tables.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7e9208fb3e4e1fd7354dc349cc63407acb8d92dbae016714dda2619ef07669e
+size 263798530

results.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d2f8fa06bc377a4ebbbf60ab4bfbe13c06a5027d95cfe92ce16e87fdd073d37
+size 45610316